All posts by [x]cube LABS

[x]cube LABS is a leading digital strategy and solution provider specializing in enterprise mobility space. Over the years, we have delivered numerous digital innovations and mobile solutions, creating over $ 2 billion for startups and enterprises. Broad spectrum of services ranging from mobile app development to enterprise digital strategy makes us the partner of choice for leading brands.

Containers vs. Virtual Machines: What Are The Differences?

Introduction

As organizations increasingly move towards a cloud-based infrastructure, the question of whether to use containers or virtual machines (VMs) for deployment arises. Containers and VMs are popular choices for deploying applications and services, but the two have some fundamental differences.

This article will explore the differences between containers and virtual machines, their advantages and disadvantages, and which suits your product engineering needs better.

Containers and virtual machines are both technologies practiced in product development for creating isolated environments for applications to run. While they both provide isolation and flexibility, they have significant differences.

What Are Containers And Virtual Machines?

Virtual machines and containers are both ways of virtualizing resources. The term “virtualization” refers to the process by which a single resource in a system, such as memory, processing power, storage, or networking, is “virtualized” and represented as numerous resources.

The primary distinction between containers and virtual machines is that the former can only simulate software layers above the operating system level, while the latter can affect the entire machine.

A Virtual Machine is a software abstraction of a physical machine. This abstraction enables the emulation of a computer’s hardware, thereby allowing multiple operating systems to run on a single physical host.

A noteworthy characteristic of virtual machines is that each possesses its own virtualized hardware, including virtual central processing units (CPUs), memory, and storage. The guest operating system operates atop the virtual machine’s hardware as it would on a physical device, showcasing the versatility and flexibility of this technology.

Conversely, a container provides an isolated environment where an application and its dependencies can operate. Unlike virtual machines, containers share the host machine’s operating system kernel. However, each container has its independent file system, network stack, and runtime environment, enhancing the isolation level provided. Their lightweight build highlights containers’ nimble and agile nature, making them easy to deploy and scale rapidly.

Differences between Containers and Virtual Machines

In the standard setup, a hypervisor creates a virtual representation of the underlying hardware. Because of this, each virtual machine includes a guest operating system, a simulation of the hardware necessary to run that operating system, an instance of the program, and any libraries or other resources needed to run the application.

Virtual machines (VMs) allow for the simultaneous operation of multiple operating systems on a single host machine. Virtual machines from different vendors can coexist without interference from one another.

Containers virtualize the operating system (usually Linux or Windows) rather than the underlying hardware, isolating applications and their dependencies in isolated containers.

Containers are lightweight, efficient, and portable compared to virtual machines since they don’t require a guest operating system and may instead use the features and resources of the host operating system.

Like virtual machines, containers help programmers maximize hardware resources like CPU and memory. In which individual parts of applications may be deployed and scaled independently, Microservice architectures deployments are another area where containers excel. It’s preferable to this than having to scale up the whole monolithic software just because one part is under stress.

Advantages of Containers

  • Robust Ecosystem: Most container runtime systems provide access to a hosted public repository of premade containers. By storing frequently used programs in containers that can be downloaded and used instantly, development teams can shave valuable time off of their projects.

  • Fast Deployment: One of the main advantages of containers is their lightweight nature. Since they share the host operating system kernel, containers require fewer resources than virtual machines. This makes them faster to deploy and easier to scale. Containers can also be easily moved between different environments: development, testing, and production. Also, using Docker containers provides a lightweight and portable way to package and deploy applications, making it easy to move them between environments, from development to production.

  • Portability: Another advantage of containers is their portability. Since containers encapsulate an application and its dependencies, they can be easily moved between different platforms, such as cloud providers or on-premises environments. This makes avoiding vendor lock-in easy and switching between other deployment options.

  • Flexibility: Containers also enable greater flexibility in machine learning application deployment. Since each container is isolated, multiple versions of an application, each in its container, can be deployed on the same host. This makes it easy to test and deploy new versions of an application without affecting existing deployments.

Advantages of Virtual Machines

While containers have many advantages, virtual machines have benefits that make them popular for some use cases.

  • Complete Isolation Security: Virtual machines function independently from other computers. In other words, VMs on a shared host can’t be attacked or hacked by other VMs. Even if an exploit were to take over a single virtual machine, the infected VM would be wholly cut off from the rest of the network.

  • Interactive Development: The dependencies and settings that a container is intended to use are often defined statically. The development of virtual machines is more dynamic and participatory. A virtual machine is a bare-bones computer once its fundamental hardware description is provided. The VM’s configuration state can be captured via a snapshot, and software can be installed manually. Pictures of a virtual machine can either roll back to a previous state or quickly create an identical system.

Conclusion

In conclusion, containers achieve benefits like virtual machines while providing incredible speed and agility. Containers may be a more lightweight, flexible, and portable way of accomplishing software deployment tasks in the future.

They are catching on in the industry, with many developers and IT operations teams transitioning their applications to container docker-based deployments.

Enterprises have used virtual machines for years because they can run multiple operating systems on one physical server. However, containers have garnered more attention in recent years for their flexibility and efficiency.

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The POD Model of Software Development

Introduction

The development of business apps has seen a significant shift in recent years, with many companies abandoning more rigid techniques in favor of more adaptable ones that foster creativity and quick turnarounds. This is shown in the widespread use of DevOps and agile approaches, which enhance development team productivity by facilitating better workflows.

The POD model, an extension of DevOps’s ideas, is another paradigm gaining traction within this trend because it improves efficiency by distributing big development teams into more manageable, self-sufficient subunits. This article will discuss the POD model, its benefits, and how you might apply it in your business.

The POD (Product-Oriented Development) model is a framework for product engineering that emphasizes cross-functional collaboration, continuous delivery, and customer-centricity. The POD model typically consists of a minor, autonomous team of engineers, designers, product managers, and quality assurance professionals who work together to build and deliver a specific product or feature.

What is the POD Model?

POD stands for “Product-oriented Delivery,” Software development strategies that focus on forming small cross-functional teams to take responsibility for various aspects of a project, such as completing a job or fulfilling a given demand. Each member of a POD will be able to contribute to the product’s conception, development, testing, and operation, making the POD fully self-sufficient.

This model is based on agile methodology, which recommends breaking large projects with a single product launch into smaller, incremental sprints to meet customer needs. The DevOps model is an extension of the agile methodology that merges the functions of development and operations to increase efficiency and decrease the number of deployment errors.

The POD paradigm follows the DevOps model in its emphasis on operational requirements during the planning and development phases, and it also embraces Agile’s incremental approach. Each member of the POD team follows the same sprint approach and combines several different sets of skills to address every stage of the software development process, from initial concept to ongoing support. It is common practice to use multiple PODs, each tasked with a subset of the broader sprint objectives.

PODs are a method of product engineering and personnel management. The typical size of a POD team ranges from four to ten experts.

Benefits of the POD Model

The POD model offers several advantages over traditional software development models. Here are a few reasons why it may be a good fit for your organization:

  • Scalability: By combining all necessary disciplines into one integrated unit, the POD model eliminates traditional roadblocks in the software development process—such as handoffs and lag time between phases—that occur when skills segment a team. POD teams can be added and removed from a project to provide the right resources for each sprint.

  • Faster Time to Market: The POD model allows teams to work more efficiently, delivering high-quality products in less time. This can help your organization stay competitive and respond quickly to changing market conditions.

  • Increased Collaboration: The cross-functional nature of POD teams promotes collaboration and communication, leading to a better understanding of the project requirements and a more cohesive final product.

  • Better Accountability: With a clear product vision and a self-contained team, it is easier to hold team members accountable for their work and ensure they deliver value to the customer.

  • Improved Quality: The Agile methodology used in the POD model emphasizes testing and continuous improvement, leading to higher quality products and a better user experience.

  • Efficiency: POD teams are efficient since they can examine and test their products without sending them to different locations for different expertise. Because of the team’s strong cooperation with all parties involved, everyone has quick and easy access to comments on the effectiveness of their efforts. This lessens the possibility of bugs entering production and allows the team to adjust earlier.

Limitations of the POD Model

While the POD model offers many advantages, there are also some drawbacks to consider before making the transition:

Distributed Decision Making: The POD approach is helpful because it gives the people doing the work the freedom to make critical strategic decisions, such as which technologies to utilize while building a feature. Younger team members may need more expertise and leadership qualities to make such vital judgments.

Thus, each POD team must have practitioners with the expertise to set team strategy. It would be best if you also encouraged mentoring for any younger team members to help them develop these skills so they can contribute to future debates.

High Level of Coordination: One of the main goals of the POD model is to provide each team with independence so that numerous tasks can be completed simultaneously. This necessitates meticulous preparation to specify the objectives of each sprint and guarantee their freedom from one another.

In other words, members of all POD teams should be able to finish a given assignment. If it doesn’t happen, the perks of internal cooperation, including increased productivity, may be lost. For instance, Team A may wait for Team B to finish their deliverable portion before tackling the task themselves.

Conclusion

The POD model of product engineering offers many benefits, including faster time to market, increased collaboration, better accountability, and improved quality. The POD model may fit your organization well if you want a flexible, adaptable approach to managing your software development projects.

By bringing together cross-functional teams and using the agile methodology, you can create high-quality products that meet the needs of your customers and stakeholders.

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The Advantages and Disadvantages of Containers.

The Advantages and Disadvantages of Containers

The Advantages and Disadvantages of Containers.

Introduction

Containers are a virtualization technology that allows software development companies to create, deploy, and run applications in a portable and efficient way. Containers package an application’s code and dependencies into a single, isolated unit that can be run consistently across different environments, from development to production. This article will discuss the advantages and disadvantages of using containers in software development.

Containers are a pivotal technology in software development, offering unparalleled portability, efficiency, and scalability. They encapsulate an application’s code, configurations, and dependencies into a single object, ensuring consistent operation across various computing environments. Below is an updated analysis of the advantages and disadvantages of containers, incorporating recent advancements and trends.

Advantages:

  1. Enhanced Portability and Compatibility: Containers have improved their portability and compatibility thanks to standardization efforts by the Open Container Initiative (OCI). This ensures containers can run seamlessly across different environments and cloud providers, further simplifying deployment and migration processes.
  2. Advanced Scalability and Orchestration: With the evolution of orchestration tools like Kubernetes, the scalability of containerized applications has significantly advanced. Kubernetes offers sophisticated features for auto-scaling, self-healing, and service discovery, making the management of containerized applications more efficient and resilient.
  3. Isolation and Security Enhancements: While isolation remains a key benefit of containers, there have been significant advancements in container security. Technologies like gVisor and Kata Containers provide additional layers of isolation, helping to mitigate the risks associated with shared kernel vulnerabilities. Moreover, the adoption of best practices and tools for container security scanning and runtime protection has grown, enhancing the overall security posture of containerized applications.
  4. Consistency Across Development Lifecycle: Containers guarantee consistency from development through to production, reducing “it works on my machine” problems. This consistency is now further bolstered by the adoption of DevOps and continuous integration/continuous deployment (CI/CD) pipelines, which leverage containers for more reliable and faster delivery cycles.
  5. Resource Efficiency and Cost Reduction: Containers’ lightweight nature allows for high-density deployment, optimizing resource utilization and potentially lowering infrastructure costs. Innovations in container runtime technologies and microservices architectures have further improved resource efficiency, enabling more granular scaling and resource allocation.
The Advantages and Disadvantages of Containers.

Disadvantages:

  1. Security Concerns and Solutions: Despite advancements, security remains a concern. The shared kernel model of containers can expose vulnerabilities; however, the container ecosystem has seen significant improvements in security tools and practices. Solutions like container-specific operating systems and enhanced network policies have been developed to address these concerns.
  2. Complexity in Management and Orchestration: The complexity of container orchestration has been challenging, particularly in large-scale deployments. However, the community has made strides in simplifying container management through improved user interfaces, automated workflows, and comprehensive monitoring and logging solutions.
  3. Persistent Storage Management: Managing stateful applications in containers has been problematic. The introduction of advanced storage solutions, such as Container Storage Interface (CSI) plugins, has made it easier to integrate persistent storage with containerized applications, addressing the challenge of data management.
  4. Networking Complexity: Networking in a containerized environment can be complex, especially in multi-cloud and hybrid setups. Recent advancements include introducing service mesh technologies like Istio and Linkerd, which simplify container networking by providing a unified, programmable layer for traffic management, security, and observability.
  5. Runtime Compatibility: While compatibility issues between container runtimes persist, the industry has moved towards standardization. Tools like containers and CRI-O, compliant with the OCI specifications, have eased these compatibility concerns, allowing for broader interoperability across different environments and platforms.

Conclusion:

The landscape of container technology has evolved, addressing many of its initial disadvantages while enhancing its advantages. Containers remain at the forefront of software development, offering solutions that are more secure, manageable, and efficient. As the technology matures, it’s likely that containers will continue to be an indispensable part of the software development and deployment lifecycle, facilitating innovation and agility in an increasingly cloud-native world.

How can [x]cube LABS Help?


[x]cube LABS’s teams of product owners and experts have worked with global brands such as Panini, Mann+Hummel, tradeMONSTER, and others to deliver over 950 successful digital products, resulting in the creation of new digital lines of revenue and entirely new businesses. With over 30 global product design and development awards, [x]cube LABS has established itself among global enterprises’ top digital transformation partners.



Why work with [x]cube LABS?


  • Founder-led engineering teams:

Our co-founders and tech architects are deeply involved in projects and are unafraid to get their hands dirty. 

  • Deep technical leadership:

Our tech leaders have spent decades solving complex technical problems. Having them on your project is like instantly plugging into thousands of person-hours of real-life experience.

  • Stringent induction and training:

We are obsessed with crafting top-quality products. We hire only the best hands-on talent. We train them like Navy Seals to meet our standards of software craftsmanship.

  • Next-gen processes and tools:

Eye on the puck. We constantly research and stay up-to-speed with the best technology has to offer. 

  • DevOps excellence:

Our CI/CD tools ensure strict quality checks to ensure the code in your project is top-notch.

Contact us to discuss your digital innovation plans, and our experts would be happy to schedule a free consultation!

Building and deploying microservices with containers and container orchestration.

Building and Deploying Microservices with Containers and Container Orchestration

Building and deploying microservices with containers and container orchestration.

Introduction

Microservices architecture has gained popularity in recent years, allowing for increased flexibility, scalability, and easier maintenance of complex applications. To fully realize the benefits of a microservices architecture, it is essential to ensure that the deployment process is efficient and reliable. Containers and container orchestration can help achieve this.

Powerful tools like microservices, containers, and container orchestration can make it easier and more dependable for product engineering teams to develop and deliver software applications.

Containers are a lightweight and portable way to package and deploy applications and their dependencies as a single unit. They allow consistent deployment across different environments, ensuring the application runs as expected regardless of the underlying infrastructure.

Scalability, robustness, and adaptability are just a few advantages of the microservices architecture, which is growing in popularity in product engineering. However, creating and deploying microservices can be difficult and complex. Container orchestration and other related concepts can help in this situation.

Container orchestration is the process of managing and deploying containerized applications at scale. It automates containerized applications’ deployment, scaling, and management, making managing and maintaining many containers easier. Container orchestration tools like Kubernetes provide a powerful platform for deploying and managing microservices.

Microservices Deployments with Containers and Orchestrators

Containers and orchestrators are crucial when implementing microservices because they eliminate the issues from a monolithic approach. Monolithic apps, on the other hand, must be deployed all at once as a unified whole.

This will result in the application being unavailable for a short period, and if there is a bug, the entire deployment process will have to be rolled back. It’s also impossible to scale individual modules of a monolithic program; instead, the whole thing must be scaled together.

Building and deploying microservices with containers and container orchestration.

These deployment issues may be addressed using Containers and Orchestrators in a microservices architecture. Containers allow the software to run independently of the underlying operating system and its associated software libraries. You can use the software on any platform. Since containers partition software, they are well-suited to microservices deployments.

Containers allow for the remote deployment of microservices. Containers allow for the decentralized deployment of each microservice.

Additionally, since each of our microservices runs in its container, it can scale independently to meet its traffic demands. With containers, updates can be implemented individually in one container while leaving the rest of the program unchanged.

Managing a large number of containers in a microservices architecture requires orchestration. Orchestrators allow containerized workloads across clusters to be automatically deployed, scaled, and managed. Therefore, applying and reverting to previous versions of features is a breeze with container deployments. The microservices containerization industry has adopted Docker as the de facto standard.

Docker and Container

Docker is a free and open containerization platform that facilitates the creation, distribution, and execution of software. Docker allows you to deploy software rapidly by isolating it from the underlying infrastructure.

The time it takes to go from developing code to having it run in production can be drastically cut by using Docker’s methods for shipping, testing, and deploying code quickly.

Docker enables the automated deployment of applications in lightweight, self-contained containers that can function in the cloud or locally. Containers built with Docker are portable and can be run locally or in the cloud. Docker images can create containers compatible with both Linux and Windows.

Benefits of Container Orchestration in a Microservices Architecture

For complex and ever-changing contexts, orchestrating containers is essential. The orchestration engine comprises tools for developing, deploying, and managing containerized software.

Software teams use container orchestration for a wide variety of control and automation purposes, such as:

  1. Provisioning and deploying containers.
  2. Controlling container availability and redundancy.
  3. Increasing or decreasing the number of containers to distribute application load uniformly throughout the host system.
  4. Ensuring a unified deployment setting, whether in the cloud or on-premise.
  5. Distribution of Container Resources.
  6. Controlling the visibility of services to the public, the process of interacting with the outside world while running inside a container.
  7. Load balancing, service discovery, and container networking.
  8. Reporting on the state of the docker containers’ health.
  9. Controlling the entire container’s existence.

Challenges of Microservices-Based Architecture

To successfully implement an MSA, businesses must be prepared to face several challenges, which include:

  1. The complexity of microservices is high.
  2. As a result of the increased hardware requirements, microservices come at a high cost.
  3. Remote calls are numerous because microservices must talk to one another. As a result, you may incur higher processing and network latency expenses than you would with more conventional designs.
  4. Due to the transactional management style and the necessity of using various databases, managing microservices can be stressful.
  5. The process of rolling out microservices can be complicated.
  6. There are specific security concerns with microservice architectures.
  7. Due to the high expense and complexity of maintaining multiple settings simultaneously, this practice is rarely used.
  8. Securing a large number of microservices takes time and effort.
  9. As the number of microservices expands, the message traffic increases, reducing efficiency.

In conclusion, building and deploying microservices with containers and container orchestration is a powerful way to manage complex applications. Containers provide a lightweight and portable way to package and deploy applications, while container orchestration tools automate containerized applications’ deployment, scaling, and management. Service meshes, monitoring and logging, and CI/CD are essential components of a microservices architecture and should be implemented to ensure the reliability and availability of the microservices.

Conclusion

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Containers and containerization

Introduction to Containers and Containerization: A Phenomenon Disrupting the Realm of Software Development

Containers and containerization.

Introduction

The software development industry is constantly evolving, and among the most significant breakthroughs in recent times is the advent of containers and the practice of containerization. But what exactly are these containers, and how are they transforming how we construct, launch, and oversee software applications? This article will delve into the intricate and captivating world of containers and containerization and unravel their many advantages.

As a result of simplifying application deployment and scaling, containerization has gained popularity as a method in product engineering. Containers may be readily deployed to cloud-based systems, as in Amazon Web Services (AWS) or Microsoft Azure, and they can be managed using tools for container orchestration like Kubernetes.

What are Containers?

A container is a lightweight, self-contained, and executable software package encompassing everything indispensable for running a particular software, including the code, runtime, libraries, system tools, and configurations.

Containers are constructed from images and operate as instances of these images. The primary benefit of containers lies in their capability to provide a uniform and predictable environment, making it easier to migrate applications from development to production without being apprehensive about differences in the underlying infrastructure.

Containers vs. Virtual Machines

Containers are often paralleled with virtual machines (VMs) since both furnish isolated environments for executing applications. However, there are fundamental disparities between the two. VMs necessitate a complete operating system to function, making them cumbersome and ineffective.

On the other hand, containers don’t need their operating system; instead, they share the host operating system, making them more lightweight and practical. This also enables multiple containers to run on a single host, making running more containers on a single server more feasible than VMs.

Another advantage of containers over VMs is their portability. Containers comprise all the dependencies and configurations required to run an application, making it simple to move them across diverse environments, from development to production. This streamlines the product engineering lifecycle and ensures consistent testing and deployment.

Containers and virtual machines.

Advantages of Containerization

The advantages of containerization are abundant and encompass the following:

  1. Portability: To make software portable and able to operate reliably across any platform or cloud, developers can use containers to generate executable packages that are “abstracted away from” (not bound to or dependent upon) the host operating system.
  1. Agility: Docker Engine, an open-source container runtime, pioneered the container industry standard with its intuitive development tools and cross-platform, container-agnostic packaging method that supported both Linux and Windows. There has been a transition in the container ecosystem toward engines overseen by the Open Container Initiative (OCI). Agile and DevOps practices and tools are still viable options for developers looking to build and improve software iteratively with minimal downtime.
  1. Speed: The term “lightweight” is commonly used to describe containers since they can run efficiently without the burden of their operating system (OS) kernel. Because there is no OS to load, greater server efficiency reduces server and licensing costs and shortens startup times.
  1. Fault isolation: Each app runs in its sandbox in a containerized environment. If one of your containers malfunctions, the rest will keep running normally. When a technical problem arises in a single container, development teams can isolate it and fix it without impacting any other containers. The container engine can isolate failures using OS security isolation mechanisms, such as SELinux access control.
  1. Efficiency: In a containerized system, the OS kernel is shared among all containers, and the application layers within a container can be shared among containers. Since containers are intrinsically more lightweight than virtual machines (VMs) and have a shorter startup time, many more containers can share the resources of a single VM. Improved server efficiency means less money spent on hardware and software licenses.
  1. Ease of Management: By utilizing a container orchestration platform, containerized workloads and services can have their deployment, scaling, and management tasks automated. Management chores like expanding containerized applications, releasing new versions of programs, and providing monitoring, logging, and debugging may all be simplified with the help of container orchestration systems. Kubernetes is an open-source technology (initially open-sourced by Google, based on an internal project called Borg) that automates Linux container functions. It is the most popular container orchestration system currently available. Kubernetes is compatible with various container engines, including Docker, and any container system that adheres to the Open Container Initiative (OCI) specifications for container image formats and runtimes.
  1. Security: Containerization naturally protects against malware attacks since each application runs in its contained environment. In addition, security permissions can be set up to prevent unauthorized components from entering containers and to restrict interactions with resources that aren’t strictly necessary.

Conclusion

In conclusion, containers and containerization disrupt software development by transforming how software is developed, deployed, and managed. With their ability to furnish a uniform and predictable environment, enhanced efficiency, and increased productivity, containers are a crucial tool for modern software development. Docker, the sovereign of containerization, provides a straightforward and efficient way to package and distribute software, making it the go-to platform for numerous organizations.

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Arriving at the right product development strategy.

Creating A Winning Product Development Strategy 

Arriving at the right product development strategy.

Product development is the entire process of introducing a product to the market. Possible steps include finding a product concept, getting market feedback on the idea, developing a prototype, planning marketing and sales campaigns, constructing the product and releasing it to customers, and making changes in response to market feedback.

We also need to be familiar with concepts like product development roadmap since these three terms are sometimes used interchangeably to have a nuanced understanding of what a product development idea is and why you need one.

Building a successful product without a solid product strategy is comparable to trying to win at chess without understanding the clever moves you’ll need to pull it off. You’ll have a difficult time.

Arriving at the right product development strategy.

What is a Product Development Strategy?

A product development strategy is a method for introducing a new product into a potential market by doing extensive testing, ongoing market research, and rigorous product ideal preparation.

Some businesses concentrate on new product development techniques that enable them to produce new items while assisting the growth of their existing ones. Whether or not your product is profitable, you can still utilize a product development strategy to increase growth.

Any current product may also be introduced into a fresh market. Occasionally, you might also need a product development strategy for existing products in the present market; however, this generally occurs when introducing a new feature, rebranding, or launching a new complementary product line.

According to the product life cycle, every product eventually reaches a plateau as the company’s revenue expands. At that point, businesses usually introduce new product-led growth plans, more product lines, or a fresh marketing approach.

A business strategy typically coexists alongside a product development strategy. The process might vary depending on whether a product is being commercialized, going through further iterations, or something else.

Why is a Plan for Product Development Essential?

A product development strategy is crucial because it uses market research to create a successful plan for selling items. The approaches and tactics you’ll employ at each step of product development should be part of your overall plan. With this aid, you can focus on the most effective techniques and conquer barriers. Making plans to create different products will allow you to improve current products and expand your brand. How crucial is product strategy?

Arriving at the right product development strategy.

Product development strategy examples:

  1. Conduct thorough market research to identify gaps and opportunities, informing our product development strategy.
  2. Implement a phased approach, focusing on iterative design and testing to refine our product development strategy.
  3. Collaborate closely with cross-functional teams to ensure alignment and maximize the effectiveness of our product development strategy.
  4. Leverage customer feedback and data analytics to optimize our product development strategy for maximum impact.
  5. Emphasize agility and flexibility in our product development strategy to quickly adapt to changing market dynamics and customer needs.

Benefits of Product Development Strategy

A product development process provides a framework for developing new goods or enhancing current products’ functionality, value, or quality.

The tactic aids in achieving objectives, including expanding into new markets, increasing sales to existing clients, or luring clients away from rivals. A good product development strategy can also boost sales and profitability, but careful preparation is necessary to reduce the likelihood of costly errors.

A solid product development strategy can help your company transform a concept into a successful product and tweak it to stay competitive. Your product development plan can highlight opportunities for development and the most effective approaches.

Consider how different strategies would work for each step of your product development strategy to maximize its effectiveness, then adjust based on your prior experiences.

Control and Evaluation for Success:

Developing new products is risky, and many initiatives fail. To reduce risk and ensure the program achieves its intended advantages, set measurable targets and analyze progress at each development level, from idea generation to technical and commercial assessment to detailed product and launch. Instead of creating fascinating technical features that customers do not need, businesses should concentrate on innovations that address customer demands.

Boost Your Quality Reputation:

You can boost sales by including quality improvement goals in your product engineering program. By implementing the necessary modifications, you can ensure that you meet the requirements for being an approved supplier if you work with businesses that impose their quality standards as a prerequisite for purchasing.

To meet the customer’s quality expectations, you can modify the product or use more dependable materials. Quality improvements also help you enter markets where suppliers must adhere to regulations.

Gain Clients with Better Performance:

Enhancing existing items’ performance can help your sales staff capture market share from rivals who cannot match the improved performance of existing items. By charging more for a better product, the improved performance also enables you to boost revenue or profit.

You can establish measurable goals for improvement by conducting research or interacting with customers or sales reps to determine the performance variables that are most crucial to the market.

Cut Expenses to Boost Competition:

A key objective of product development is cost minimization. Reduced payments allow you to maintain prices and increase your profit margin or drop rates to attract new customers.

Product development teams can cut costs by removing features the market does not require, switching to less expensive materials, or restructuring the product to make manufacturing easier.

Assess The Hazards:

At various points during the process, a product development strategy may fail to provide its intended benefits. When the team comes up with ideas, it needs to undertake more study into market demands, which results in advancements that don’t satisfy customers. The team must ensure the business can turn the concept into a final product using the technology and production resources available during the technical evaluation stages.

It must also conduct a commercial assessment to ensure the project can make enough money to pay for development, production, and marketing expenditures. Putting the product through market testing before launch might help lower risk. By seeking input from a sample of clients on a prototype, you can adjust the production version to suit the market better.

Elements of Product Development Strategy 

A comprehensive business strategy must include new product development in planning and implementation. Therefore, it must be consistent with the broader idea of strategic portfolio management, or SPM. That strategy framework also requires NPD.

Let’s take a look at each of those components.

Utilizing Ideas Effectively and Managing Demand: 

To accomplish that, everything must be guided by strategy.

You must connect your product development priorities with other organizational systems to guarantee alignment with the overall design. 

Targets and metrics must be established through integrated business cases and cost-benefit analysis. This provides a strong foundation for delivery and matches the proposed activity with the anticipated benefits.

Similarly, you must ensure that the relevant projects are being worked on and that the performance standards are appropriate.

Consideration of Customer Feedback:

Your customer-focused elements must be fully and thoroughly considered when designing and prioritizing products. If you want to ensure that you are making suitable investments at the correct times and implementing them correctly, you must be able to use your understanding of those customers’ needs and wishes. 

Then, when clients’ needs change and develop, you must continually validate those choices by modifying and altering your plans in real-time. The customer’s voice must be considered in the other aspects of new product development when we examine them in the sections below.

Giving customers what they want is the most straightforward approach to ensure that the proper items are being developed. The concept of the voice of the customer is to provide development that includes stated and unstated customer needs. These are gathered through focus groups, interviews, surveys, and usage habits. At the same time, most businesses can incorporate feedback into the product development process.

Stage-gate Governance Restrictions Being Used:

Work teams must be allowed to concentrate on producing solutions in today’s fast-paced world without being hindered by onerous governance requirements. However, that strategy needs to be tempered with a governance architecture that guarantees investments continue producing anticipated returns.

A stage-gate approach to new product governance that offers sufficient control points throughout the whole process, from initial funding to commercialization, is necessary to achieve that goal optimally.

Poor governance should be used to apply those controls as part of a lean portfolio management strategy, giving leaders the required rules without impeding their execution capacity. By directly integrating governance with funding at the investment layer, you can guarantee that there will be no loss of supervision and productivity.

Capital Management and Financial Performance Planning Jointly:

The expense of creating new items is money, a scarce resource. You must ensure that the initiatives to which you allocate funds will produce results, and you must then manage that funding to guarantee that the return on investment occurs.

To accomplish so successfully, you’ll need capital planning tools to assist you in closely aligning everything with your strategic priorities, which should be the driving force behind all you undertake. Investments must be chosen and approved from the top down based on how closely they correspond with these priorities and how much they can contribute, as determined by the business case.

Integrated Road Mapping and Accelerated Time to Market:

When your products are launched, you must see that this occurs immediately. This calls for a strategic assessment of your whole product line, both in the present and concerning your long-term goals. 

Road-mapping tools let you create and manage these plans, make adjustments, and communicate with stakeholders.

However, creating roadmaps for planning and communication is only the beginning; you also need to be able to track your progress against that roadmap. 

To do that, all work must be integrated into a single platform that allows for the management of ongoing projects through contextualized status reporting, the capture of variances, and the analysis of those variances’ effects on each product and the portfolio.

Therefore, your ability to provide the correct products to market and value as quickly as feasible is enabled, promoting your ability to optimize decision-making and eventually achieve higher performance.

Favoring Integrated Working Methods:

Today’s products have many components, frequently mixing produced elements with software. Therefore, work is done to create those products in the tri-modal realities. Teams use a variety of technologies in different arrangements. Each of those teams must be able to operate in a manner that suits them without being compelled to alter and adapt due to system constraints.

Resources and Planning That Are Optimal:

The right people, with the right talents, at the right moment and time, are essential for quickly bringing the right solutions to market.

Additionally, it entails ensuring they can focus their energies on the task. In a setting where resource demands are continually changing, organizations need help to sustain that ability, frequently encountering bottlenecks from excessively assigned resources and inefficiencies from under-allocations.

It would help if you had a single, integrated resource management solution to capture resource demand, capacity, allocations, and usage – both by function or role and by the individual – to permanently tackle those challenges in your product development channels. You must understand forthcoming capacity and capability demands, identify the effects of various portfolio models on resources, and manage people more skillfully across all initiatives. You can only accomplish it by relying on disjointed systems or spreadsheets.

Extensive Monitoring and Reaping of Advantages:

Complete measurement and benefits realization: The secret to effective new product development is Getting the appropriate products to market fast and profitably, not merely getting items to sell rapidly. 

You must establish your success criteria, choose the correct measurements, and assess performance to do it. Utilizing a top-down strategy that connects everything to the strategic priorities is the most efficient way to accomplish this and is the only reliable option. With benefits realization tools, you can link each variable directly to strategy, whether verifying financial performance or gauging non-financial indicators like NPS. 

Considerations for Developing a Product Development Strategy

For several reasons, a product development plan is essential.

Here are a few examples:

Cross-functional Team Alignment

When difficulties and concerns arise—which they inevitably do during the product development process—this will assist the team in making more intelligent tactical decisions.

To deploy a product on schedule, the team must develop excellent communication so everyone is on the same page and knows where to go. Regardless of the roadmap the couple chooses to follow, a product development plan is a valuable tool, in this case, to keep the team concentrated on the final objective.

Feedback and Product Development Journey 

Consider a scenario where the product team’s user personas show less interest in the new concept than anticipated during the market validation phase.

Suppose the team is working from a predefined product development strategy. In that case, it will be better positioned to decide whether to stick with its original plan or change course and prioritize other capabilities.

Robust Development 

An adequately defined product development plan will help corporations allocate resources and forecast timeframes throughout the development cycle.

This will also clarify which task-level initiatives are more important right now and which ones should be included in the next sprint in an agile development company.

Risk Avoidance

A team has a better chance of creating a product you want, and users require they have a product development strategy. The strategy must be supported by a thorough market, competitive target audience, and other research. By doing this, you eliminate speculation and rely on actual data.

Arriving at the right product development strategy.

Understanding Customers & Market

You might be tempted to jump straight to production with your product idea in mind, but it requires validating it to be a mistake. Before you develop a product development plan, you should research the environment in which the product will exist since it shouldn’t be produced in a vacuum. 

Market Research:

To avoid wasting time, money, and effort on a product that won’t sell, product validation assures that you are developing a product that consumers will pay for. You can validate your product ideas in various ways, such as

  • You are posting about your belief in internet forums, etc., with your target audience.
  • Initiating a fundraising effort
  • Launching your concept to a tiny segment of your target market to gain early feedback is known as test marketing.
  • Using Google Trends to investigate market demand.
  • Running an online poll to gather feedback.
  • Releasing a roadmap for a product launch to assess interest through email opt-ins or pre-orders.
  • Requesting early feedback on forums like Reddit.

Regardless of how you evaluate your idea, receiving feedback on whether a sizable and objective audience would purchase your product is crucial. A word of caution: Don’t give feedback from people who say they “certainly would buy” your hypothetical product with too much weight. After all, you can only consider someone a customer once they purchase. You should only ask your family and friends for guidance if they have experience.

Customer Understanding:

Conducting market research on current items is essential for maintaining and enhancing brand performance. Businesses must always look to the future to keep a competitive edge in the market. A brand’s long-term success depends on developing new products, as they offer opportunities to increase market share and break into untapped markets.

Even though it might be expensive and time-consuming, development pays off when done well. It lets companies produce goods that are more likely to sell, draw in new clients, and foster brand loyalty by helping them better understand their target consumers.

As with all market research, engaging customers is essential to obtaining accurate and valuable insights that support effective product development. Consumer research is used in some stages of new product development, allowing businesses to test the features and prices of their products in virtual environments.

We look at four key customer engagement strategies organizations can use to involve customers in decision-making and the insights they can gain.

Locate Possibilities and Concepts:

This study aims to identify consumers’ requirements and wants, as well as what they like and dislike about present products, what they would change, what they believe is missing, and what they value most when making purchases. Conducting a consumer insights survey is the most efficient way to obtain these insights from the target population.

New product ideas are created throughout the idea-generation process, during which businesses compile an extensive list of ideas from internal and external sources. Multiple teams and departments work together to find new opportunities and generate ideas.

This approach externally necessitates rival analysis and thorough market research to obtain crucial consumer feedback.

Define Attributes:

Consumer research separates the key and desired product aspects from those less important or expected after the idea-generating phase. Businesses can build pertinent product concepts that can further hone throughout the development process by knowing which elements to concentrate on. During the concept testing stage, using customer insights can lead to the development of more complete product ideas. Based on consumer rankings.

Cost Analysis:

Even a slight change in price can significantly affect a product’s consumer preference and profitability. Various variables, including pricing goals, psychology, and strategies, can influence product pricing.

Testing several possible prices on the target market is crucial to see which closely matches sales, profits, and consumer acceptance goals. Van Westendorp’s Price Sensitivity Meter can assist in determining which price points the market is most likely to accept when pricing new products.

Conceptual Evaluation—Concept testing should occur when a company has decided which concepts and features need further examination. By conducting consumer research, firms can adjust to areas requiring more product development strategy based on real-world circumstances. These insights into the target market’s impression of possible items are captured.

To increase the likelihood of a successful launch, The Product Variant Selector tests up to 300 product concepts to choose the most alluring one. It employs various techniques, such as open-ended feedback, to determine audience reaction.

Also, read Feature Flagging and A/B Testing in Product Development.

Types of Product Development Strategies

Nine product development strategies are divided into proactive and reactive categories; let’s examine those strategies to better understand them.

Proactive Strategies

Proactive product development techniques significantly increase a company’s chances of making a technological or scientific breakthrough. These companies do as follows:

Invest in the Market Analysis:

Businesses that use this product development strategy look into the current market environment, including customers and their demands, trends, tendencies, and primary and minor market players. Such thorough investigation and analysis support discovering hidden opportunities for new products and acquiring insightful knowledge.

Generate Research and Development Expenditure:

When establishing R&D hubs, companies make long-term investments in innovation and technology. This strategy aims to make discoveries that may be used to develop new products, providing developers with a competitive edge and market leadership.

Encourage Internal Vanity Projects:

The goal of this strategy—an investment in entrepreneurship—is to encourage the team members to think creatively and innovatively about producing new products. The tactic is actively utilized by Google, which permits (and encourages) employees to devote 20% of their workdays to personal projects that may have no bearing on the remaining 80% of their workdays. In the wake of such an attempt, Google introduced Gmail and AdSense, which now generate enormous cash.

Forming Ties:

The plan implies collaboration with businesses from different industries. Through this collaboration, partners can design difficult-to-replicate, one-of-a-kind user experiences.

Invest in Other Businesses:

The objective is to identify promising (and frequently rival) companies and buy them to add to their service or product offering. This is what transpired when Facebook acquired Instagram in 2012.

Reactive Strategies

Organizations that employ reactive product development techniques adapt to market changes by concentrating on improving their products to remain competitive. These businesses do as follows: 

Attend to Client Requests: 

Based on client input, they can use this method to enhance or create a new development. The tactic aids in maintaining positive client relations.

Nevertheless, companies that use this tactic should be able to develop a solution.

Safeguard Yourself from Rivalry:

Companies that adopt a defensive strategy may find themselves in a situation where they must make concessions on some of their offers to survive. To keep their prices low, companies typically lower their costs, make their offers less functional, spend more money on advertising, alter their targeting, etc.

Copying Rivals:

When a paradigm-shifting product becomes indispensable, competitors steal the idea and saturate the market with clones. The product development strategy may be successful if a copy is made available in a market where the original product is unknown. As a result, the clone might become more well-known than the actual item.

The Second-Best Position:

Like the previous method, this one improves or modifies the original product rather than completely copying it. The strategy enables businesses to identify product flaws or take advantage of chances the previous company missed, introducing an improved outcome.

Arriving at the right product development strategy.

Best Practices & Examples of Product Development Strategy

  • Keep in Touch with Your Clients – Create a client-driven product development strategy and regularly conduct customer surveys to gather additional information to help you appropriately focus your system.

    Being attentive to consumer feedback can provide you with a significant competitive advantage. Naturally, you only want to consider some suggestions. However, you will only benefit by recognizing and handling the repeated ones.
  • Utilize the Enthusiasm of Attempting Something New – We see the never-ending lines of people eager to purchase their brand-new iPhones every time October rolls around.

    This is precisely the mindset that customers adopt when a reputable brand announces the debut of a new product. People are interested in trying new goods from a company that innovates to meet their requirements and preferences. 
  • Disregard Some Criticism—Although gathering client feedback is essential, you should consider it cautiously because you can’t reply to every single one. Additionally, it’s possible and likely that customer preferences will alter without your knowledge.

    As a result, you might produce a product that no longer piques consumer interest. To prevent that, it’s a good idea to shorten the duration of your plan and launch your products while there is still a substantial market for them.
  • Maintain a Tempo Balance—Being quick is essential when introducing a new good, service, or feature to the market. Therefore, you must maintain a balance between the rate of product development and its quality.

    You can choose a minimal viable product (MVP), which enables you to shorten the time to market by concentrating only on the elements that address clients’ most essential needs.
  • Set Sensible Objectives – The team might establish goals that the product can only achieve with adequate market research and quality criteria. As a result, the team needs to develop practical roadmaps and break the strategy into milestones.

Instances of Product Development Strategy

  • Microsoft – Bill Gates established the technological behemoth Microsoft Corporation in 1975. The corporation is well recognized for acquiring profitable products, including Nokia, Skype, GitHub, Slack, Linkedin, etc. However, it has consistently made significant R&D investments.
  • Atlassian—Like Google, the Australian software business Atlassian Corporation Plc promotes its internal pet projects. This development strategy produced significant enhancements, a long list of new features in Jira, Bamboo, and Confluence, and hundreds of new add-ons on the Atlassian Marketplace
  • Virgin Hyperloop – The innovative vacuum trains developed by the American transportation business Virgin Hyperloop are made possible through research and development.
  • Coupler.io – Coupler.io is a Google Sheets add-on for transferring data from various apps to Google Sheets, Excel, BigQuery, and other platforms. 
  • Mailtrap – An online program called Mailtrap is used for secure email testing in development and staging settings. Developers use it because it’s a simple tool for catching test emails, seeing them in virtual inboxes, and modifying (debugging) before the actual mailout. 

Here are five more product development strategy examples of based on the task:

  1. Create novel products and services outside your primary market.
  2. Decide whether you want to be an innovator, a follower, or a cheap participant.
  3. Set up your product portfolio following your level of risk tolerance and market position.
  4. Make a connection between your company’s goal, product strategy, and annual budgets.
  5. When deciding on a new product strategy, implement appropriate processes, finance, and governance.
  6. Item development. 

Steps to Create a Product Development Strategy

Product development strategy encompasses all facets of producing innovation, from developing a concept to providing the product to clients. These phases check the likelihood that changes will be successful in generating sales while adjusting an existing product to spark interest. The following seven stages of new product development strategy:

Arriving at the right product development strategy.

Ideation:

Creation entails creating fresh product concepts and innovative ways to improve existing items.

Formatting and Selecting:

The product development team decides which images can succeed during the selection phase.

Production of Prototypes

Following the selection of an idea, the business must produce a draft or prototype of the suggested product. This prototype can assess whether the product meets the needs of your target market and performs as anticipated.

Evaluation:

During the product development process analysis phase, the business examines market research and assesses potential issues with the product.

Product Design – The finished product can be made after the prototype has been modified to include analysis-related information.

Market Research:

Products are frequently made available to a smaller market or focus group before being open to a larger public. Customer input and the success of the product’s Marketing are two things that are evaluated throughout the market testing phase.

Commoditization is the last stage of product development strategy, when modifications are made in response to market research, and the product is made available to the entire market.

Modify Current offerings:

A successful existing product might receive a significant boost by being transformed into a newer, better version. You can improve the product’s functionality, work on its promotion, and add new features. This gives a current product room to flourish while introducing a unique viewpoint.

It’s also a fantastic chance to determine which features clients most frequently desire and what they want to see improved in the final product. This aids long-term planning for supplementary and complementary product lines.

Trial Product Offerings:

An excellent strategy to get buyers to try your product is to provide a cheaper or free version as a sample. People can be reluctant to try new things, particularly when they have to pay for them.

Offering product trials as a means of early onboarding is an option if you have a terrific product that will convert customers. If you can persuade a buyer to try one of your products, there’s a significant chance they’ll also be persuaded to try other products.

Discover New Market Areas:

Your product development idea should consider that every product can be sold in various markets. Targeting individuals in multiple demographics, groups, places, and other categories is best. It gives the product a chance to expand tremendously.

Frequently Asked Questions

1. What are the 4 product development strategies?

The four product development strategies are market penetration, product development, and diversification.

2. What is the production development strategy?

The production development strategy focuses on optimizing the manufacturing process to increase efficiency, reduce costs, and improve quality in bringing a product to market.

3. What is strategic product development?

Strategic product development involves aligning efforts with overall business objectives, market trends, and competitive positioning to drive growth and innovation.

4. What are the 5 stages of product development?

The five stages of product development are idea generation, concept development and testing, design and development, testing and validation, and launch.

5. What are the 7 steps of product development?

The seven product development steps typically include idea generation, idea screening, concept development and testing, business analysis, product development, test marketing, and commercialization.

6. What are the three 3 strategic elements of product development?

The three strategic elements of product development often include market analysis, competitive analysis, and technology assessment. These elements help inform decisions throughout the product development strategy process.

Final Remarks

The strategic process of developing new products must be done to provide value to customers effectively. It calls for dedication and effort on several levels, including knowing your customers, fostering internal excellence, and coordinating with other strategic initiatives. It also wants the capacity to control those many components via a solitary, integrated platform.

A universally effective strategy needs to be included. Nevertheless, thorough research should be the first step in every product development strategy approach. You must do a comprehensive analysis and use all the facts acquired to develop a strategy that will set your brand apart from rivals and assist you in overtaking the market.

Product Engineering Services

Top Product Engineering Frameworks You Should be Aware of

Product Engineering Services

Surprisingly, one in five products entering the market fails to satisfy the needs of its target audience. Why do some product management and development solutions fail to deliver the intended results while others fail?

Product engineering has been a great challenge for many companies for so long. Larger organizations and companies are trying different digital solutions to combat product engineering challenges. Using a practical product engineering framework is integral to any product development process.

The most successful companies like Spotify and Amazon have gained an excellent market industry reputation for delivering great products consistently. Providing a product that can cater to users’ needs does not happen accidentally; it demands strategic planning and a proven product framework.

Product Engineering Services

Companies should follow a clear product framework to manage and build their products. Product engineering is a comprehensive process; you will find numerous frameworks to make it as smooth as possible. To help you adopt a practical product framework, we will discuss some of the top product engineering frameworks.

What is a Product Framework, and Why Do Companies Adopt It?

A product framework is a set of principles companies use for their product engineers in a repeatable way to improve and build products consistently. It helps companies develop an impactful product while following their business goals, budgets, and timelines.

A company has to go through the following stages of the product development process:

  •    Conceptualization
  •    Business Analysis
  •    Market Research
  •    Product Development
  •    Testing
  •    Product Marketing

These stages require strategic planning and a deep market analysis to deliver impactful results. Without following an intelligent product framework, repeating the process of building a great product would become more challenging.

A product lifecycle framework makes it possible to analyze how your product will behave from its development to its withdrawal from the market. It works as a planning, forecasting, and management tool to make the product development process easier and more efficient. A product lifecycle framework goes through the following four stages:

  1.     Introduction
  2.     Growth
  3.     Maturity
  4.     Decline

A product life cycle framework can benefit product engineers in the following ways:

  • Decision Making

An apparent product framework enables companies to make crucial decisions related to the product development process. It assists in some initial choices, such as improvement and upgrades.

  • Identify the Target Audience

A product framework lets companies identify and target the right audience. It also helps you determine whether the product is meeting the needs of your target audience or not.

  • Develop a Potentially Successful Product

Using product engineering farmwork, you have a precise action plan to create a potentially successful product. It gives you a better understating of the market trends and users’ needs. You can get a significant insight into the market competition with the help of a product framework while increasing the chances of your success and eliminating the risk factors.

  • Organize the Product Development Process

The responsibility of a product engineer is to go above and beyond to turn digital ideas into reality. It includes communicating with customers, establishing strategic goals for product development, and managing business indicators. A product engineering framework unifies all these responsibilities, making the process easier and smoother.

Product Engineering Services

Top Product Engineering Frameworks You Should Be Aware Of

Below, we have listed the top product engineering frameworks used by million-dollar companies:

  1.  Minimum Viable Product (MVP)

The minimum viable product framework emphasizes customers’ feedback. You can develop an excellent-quality product just by reading the customer feedback. You can create and introduce an essential product to your target audience using this framework. You can ask users to give their opinions about the suitability and effectiveness of the product. Then, you can use this customer feedback to improve your product further.

  1.  Experimentation

Experimentation is another robust software development framework used by the world’s top-excelling companies, including Spotify. Spotify uses a model of Think It, Build It, Ship It, and Tweak It to produce the highest-quality product consistently.

  • Think It

Think It is a stage of brainstorming and testing unique product ideas. This is the essential stage of the entire product development process. For example, if you launch a product without trying, the chances of unhappy customers would be high.

  • Build It

This is a stage in which a primary product is built and tested on a small subset of users to obtain feedback.

  • Ship It

The Ship It stage includes delivering the product to a broader audience and continuing to study feedback.

  • Tweak It

Tweak: It might be the longest stage of the product life cycle framework. Companies spend a lot of time analyzing customer feedback to implement improvements accordingly.

  1. CIRCLES

CIRCLES is a set of well-defined procedures companies use to develop a high-end product. This abbreviation is interpreted in the following form:

  •  Comprehend the Situation

This stage includes studying the market trends and understating your product requirements.

  •  Identify the Customers

Here, you have to define your target audience.

  • Report Customers’ Needs

This stage includes identifying why your target audience needs your product.

  • Cut Through Prioritization

This step entails estimating the return on investment (ROI).

  • List the Solution

List all the possible solutions to a specific problem your product will combat.

  • Evaluate Tradeoffs

Evaluating tradeoffs helps you identify what compromises you’re ready to make.

  • Summarize

Consider all the previous points to summarize your product comprehensively.

  1.  Working Backward

Working backward is an excellent product framework used by Amazon. This approach involves working back on the traditional product development process. You start as if you’ve already finished your product to determine if it meets your customers’ needs.

The Bottom Line

Product engineering frameworks are the best digital solutions for developing a potentially successful product. It gives you a strategic approach to streamline your product development process and cater to the users’ needs. Consistently delivering exceptional quality products will improve your brand identity and help you get more return on investment.

Product Engineering

Everything You Need To Know About Product Engineering

Product Engineering Services.

Introduction

Product engineering services involve creating an electronic product using industrial design, hardware design, and embedded software techniques. Various digital product engineering consulting firms serve wearable goods, medical devices, aerospace & military, industrial products, automotive electronics, and many more industries.

Product engineering services use various programming tools & devices, memory devices, microprocessors, operating systems, interfaces, and UI tools to develop and engineer a product. To ensure the safe and secure deployment of products, it also carefully examines many quality and environmental requirements.

Definition Of Product Engineering

Product engineering encompasses the creation of an item, device, article, assembly, or system, bridging the gap between design and production. A product engineer must consider the product’s complete lifecycle, a definition applicable to software and hardware goods. What is product engineering, precisely? It’s the systematic approach to developing products, ensuring they meet quality standards, regulatory requirements, and customer expectations. Product engineering plays a significant role in product manufacturing, monitoring various product characteristics, including usability, cost, dependability, longevity, and serviceability.

The complete product lifecycle—from the conception of an idea, analysis, and design to product development and deployment—is handled by a product engineering process.

Various stakeholders are involved in this process, including product managers, technical architects, business analysts, etc. For a while, product development companies have understood how crucial it is to create user-centric products that fulfill an unmet social need.

Product engineering brings ideas to life and translates product visions into tangible, functional realities. Let’s explore this dynamic field through crucial statistics and data:

Global Market Size and Growth:

  • According to Maximize Market Research, the global product engineering services market Reached a staggering $966.22 billion in 2022.
  • Value in 2021: It is estimated at approximately $895 billion, indicating steady growth year-on-year.
  • Projected growth: Experts anticipate reaching $1592.60 billion by 2029, fueled by factors like:
    • Rising demand for advanced technology: AI, IoT, and cloud adoption driving innovation.
    • Increasing product complexity: Products becoming more feature-rich and interconnected.
    • Need for faster time-to-market: Companies seeking rapid product development and deployment.

Market Growth and Adoption:

  • Global product engineering services market: It is projected to reach $720.84 billion by 2027, with a CAGR of 9.4% from 2022 to 2027.
  • Product data management (PDM) software market: Expected to reach $50.8 billion by 2027, with a CAGR of 10.5% from 2022 to 2027.
  • Organizations leveraging Agile & Lean methodologies: Expected to reach 98% by 2025, indicating widespread adoption.

Emerging Technologies and Trends:

  • 5G-enabled devices: Predicted to reach 1.2 billion globally by 2025, opening doors for real-time applications and edge computing.
  • The percentage of businesses utilizing AI in product development is projected to reach 40% by 2025, highlighting its growing impact.
  • Cloud adoption in product management: Forecast to get 83% by 2025, driving agility and scalability.

Skillsets and Talent Shortages:

  • Top emerging skills for product managers: Data analysis, AI understanding, and customer empathy. (Source: Product Alliance)
  • Demand for software engineers: Expected to grow 26% from 2020 to 2030, creating talent gaps that need addressing.
  • Reskilling and upskilling: Crucial for both product managers and engineers to stay relevant in the rapidly evolving market. (Source: McKinsey & Company)

Focus Areas and Priorities:

  • Customer-centricity: 80% of businesses indicate that improving customer experience is a top priority. (Source: PWC)
  • Security and data privacy: Top concern for businesses adopting new technologies, with a projected spending of $150.4 billion on cybersecurity in 2023. (Source: Gartner)
  • Sustainability: Growing pressure on organizations to develop environmentally friendly products and processes. (Source: Deloitte)
Product Engineering

What Do Product Engineers Do? 

A product engineer plays a significant role in creating goods, machines, and systems. Without product engineering, a product would only exist as an idea or non-working, non-replicable model. The product engineer’s job is to provide the development and production teams with the technical know-how and procedures necessary to bring the product to life.

The product engineer collaborates closely with the designer or design team to ensure that the functionality and aesthetics complement the client’s objectives.

The product engineer collaborates closely with the manufacturing team to ensure the product can be produced most efficiently and economically. A product engineer may also need to develop production or assembly processes and materials to achieve the client’s functionality, manufacturing, and usability objectives.

As a result, engineers with expertise in product development typically participate in all phases of software development. Suppose we break down this process into stages. In that case, a product engineer’s potential contribution to developing a software product will look like this:

Ideation And Design:

Product design engineering is pivotal in the initial stages of new product development. Product engineers are tasked with transforming a unique idea into a tangible concept that aligns with market demands and technological feasibility. Drawing from market research findings, they evaluate the compatibility of the original vision with current market conditions, making necessary adjustments to enhance market fit.

Additionally, product design engineers conduct independent research to delve deeper into the functionality and technical requirements needed for product development. Alongside technical considerations, they meticulously analyze the potential return on investment to ensure the project’s viability. This culminates in developing comprehensive project plans and product specifications, setting the stage for further stages in the product development lifecycle.

Technology And Architecture:

Product engineers take part in creating an efficient design for a product that is both affordable and user-friendly. They operate as a manager and coordinator during the development process, supervising the work of developers, facilitating communication between various team members, and ensuring that the project money is used as effectively as possible.

Technology is a vital component of the development and manufacturing process. Engineers Create and test products using various technologies and methods, including computer-aided design (CAD), computer-aided manufacturing, and simulation software, before physical prototypes, which can assist lower development costs and shorten time to market.

As for product design engineering and construction, architecture is crucial in ensuring it adheres to the desired performance and functionality standards.

The effectiveness, dependability, and scalability of the product are all guaranteed by a well-designed architecture. Also, maintaining and improving the product might be more straightforward in the long run to maintain and improve the product.

Instances And Testing:

Product engineers develop and carry out precise functionality testing for a product’s initial and subsequent versions.

Along with establishing and carrying out all necessary revisions, they help process the outcomes.

Integration And Automation:

Depending on the particular needs of the product and the systems involved, product engineers employ a range of approaches to integrate and automate their products. Product engineers might use typical techniques:

Many contemporary products are created using a microservices architecture. Various product components are designed as independent, more minor services that interact with one another via APIs.

Overall, having a clear grasp of the needs of the product and the systems involved and selecting the appropriate tools and procedures for the job is essential for successful integration and automation.

Product engineers also need to be adept in monitoring and enhancing the performance of their products over time, as well as debugging and problem-solving.

Launching And Servicing:

Product engineers examine if a product satisfies all the required quality standards and is prepared for sale. They actively analyze sales and user feedback when the product is released. They also help plan and execution of improvements for upcoming product iterations.

Adaptable Engineering:

Breaking up complex activities into short, brief cycles, including feedback and iterations, can make the product engineering process quicker and more interactive.

Focused MVP:

A minimum viable product, or MVP, has enough features to draw early adopters and verify a new idea early in the product development cycle.

Moving forward rapidly while saving time and money is possible by prioritizing the product’s fundamental functionality and putting off the early stages of the project’s quest for the best design or technological solutions.

Modern Architectural Style:

Numerous teams or specialists working independently develop and implement the product’s design, which aids workload distribution and boosts organizational resilience.

Microservices- An application is structured using the software architecture approach known as microservices, a set of loosely linked, independently deployable services.

Each microservice is created with a unique business function in mind, and they all interact with one another via lightweight protocols like HTTP or messaging platforms like RabbitMQ or Kafka.

Each service in a microservices architecture may be created, deployed, and scaled independently of the other services, simplifying system upkeep and updates. Each service is usually executed separately and may have been developed using a different programming language or data storage technology.

Product Engineering Services.

Project Engineering Road Map & Process 

Hardware design, PCB layout and analysis, application development, testing, product prototype, production, and product lifecycle management are just a few of the phases of a typical product engineering process. Let’s examine each stage in greater detail. 

  • The Appropriate Engagement Model- Delivering value services and products depends on choosing a business model suited for a particular organization. It needs to meet the client’s requirements. Additionally, it shortens the release cycle and improves the business’s prospects.
  • Product Engineering And DevOps Similarities- You might be shocked to learn that the product engineering services and DevOps, a popular culture, technique, or tool that improves an organization’s ability to deploy applications, have similarities. The argument is that you must also use DevOps technologies and solutions and offer product engineering services. The client will be able to maximize the returns on their investment thanks to the combination of these two cutting-edge technologies.
  • Concluding The Product Engineering Discussion- Despite being a relatively new term in the technical language, “product engineering” has garnered a lot of momentum and is now assisting enterprises in accelerating their commercial operations. Additionally, it increases efficiency and is crucial in boosting ROI, which lowers costs and boosts production. It becomes vital for growing your clientele and gaining additional user knowledge for formulating profit-driven plans.
  • Beginning Of An Idea- The idea is pursued, modified, and abandoned based on its viability. A thesis is comprehended and carefully examined in terms of its use, usability, features, and potential impact on society.
  • Design—Now that you have an idea, you must translate it into a product design. Product developers examine the hardware, software, and industrial design specifications to understand the product thoroughly. This includes finding the appropriate operating system, CPU, memory, UI/UX and industrial design, interfaces required to actualize the product, and system partitioning between hardware and software.
  • Prototyping—A prototype is a finished good or an early sample that resembles the finished item. It facilitates testing and validation of the product’s many features. Prototypes are used in a controlled setting to evaluate their performance and confirm their adherence to the relevant environmental and quality criteria.
  • Development- The strategy and procedure for project engineering must include development. It is the process of converting a project’s design into a usable system or final product that satisfies the needs of the stakeholders.
  • Developer Tools—Software programs called developer tools assist programmers in developing, testing, and optimizing software. These tools offer various capabilities to help programmers write, test, and debug their code and analyze and optimize their applications’ functionality.

    Developer tools include integrated development environments (IDEs), code editors, debuggers, version control systems, build tools, and testing frameworks.

    Developer tool containers have grown significantly in digital product engineering, particularly for programs created using a microservices architecture. When running applications and services, along with their dependencies and configurations, in a consistent and repeatable manner, are containers, which are lightweight, portable, isolated environments.
  • Manufacturing And Delivery- The item is marked as “ready for production” once the client approves the prototype. Production support is a component of the product engineering lifecycle. The production teams and product management keep close communication throughout the process to speed up the product’s release.
  • Product Lifecycle Management- Any product-based company’s essential components are designed using PLM. Staying competitive by continually improving the product and upholding consumer happiness is crucial. Additionally, it aids in promptly deploying software patches and upgrades to ensure regular updates, feature enhancement, and all levels of customer support. Obsolescence management is another feature of PLM that provides all necessary components are available or that an adequate substitute is found, attempted, and tested for as long as the product is still being produced.

Product Engineering Benefits In Business

  • Upgraded Quality—By following PE guidelines, companies can create software products of a higher caliber. Higher customer satisfaction increases sales.
  • Improve Your Competitiveness- Businesses can set themselves apart by providing high-quality goods that satisfy consumer demands. They may increase their market share and draw in more clients.
  • Spend Less—Businesses that ensure their products are up to grade before release might avoid costly recalls and repairs. In the long term, this could help them save money.
  • More Rapid Development- Companies can reduce time to market and accelerate backend software development by adopting PE techniques. This is because they will have a clear plan and a road map.
  • Creating Comprehensive Documentation- Information included in documentation comprises test plans, design documents, and requirement specifications, among other things. This makes it easier for development teams to monitor their metrics and progress while ensuring all stakeholders are on the same page. 
    • Database—In product engineering, a database is a structured group of electronically saved data intended to enable product engineers to retrieve, insert, and manage data effectively.

      Databases are a crucial component of product engineering because they enable engineers to store, organize, and retrieve product data like design requirements, production schedules, and quality control information. This data can guide design choices, monitor the production process, and guarantee the quality of the final product.

      Relational databases, NoSQL databases, and cloud databases are a few of the database formats utilized in product engineering. The product engineering team’s specific requirements, such as the kind and volume of data to be stored, the needed speed and scalability of data access, and the available resources and infrastructure, all influence the selected database.

      Databases are a crucial component of product engineering because they enable engineers to store, organize, and retrieve product data like design requirements, production schedules, and quality control information. This data can guide design choices, monitor the production process, and guarantee the quality of the final product.
  • Consistent User Experience- A key benefit of product engineering is providing a consistent user experience. Users should anticipate a similar and comfortable engagement with a product, independent of the features they use or the device on which they use it. This is known as a consistent user experience. 
  • Customer Satisfaction—Frequently, consumers judge a product based on its design. The buyer can infer that the item is high-end from its superb design, appealing appearance, accessibility, and limitations.

Importance Of Product Engineering In Business

  • The best-in-class features and functions of the product engineering solutions are available and may quickly transform your company.
  • You must adopt new technologies to maintain ground in the race, as they are evolving quickly. There are situations when business owners worry about veering toward a sophisticated strategy. Product engineering contributes to lowering that risk factor.
  • Product design and marketing plan are two primary factors in its success. You can create designs that appeal to your target market through product design and development. Product design and development encompass all product areas, including the inside and outside and graphic components such as the website, packaging, and more.
  • Future driving technology is also nice enough to reduce the extra expense and time required to hire a new, highly skilled staff to develop a software system.
  • System interoperability provides comfort and flexibility during business operations by hosting third-party devices and platforms.
  • By avoiding conventional approaches, you are putting your company on the fast-moving technological tracks and bringing about a significant transformation.
  • It enables business owners to stay comprehensively abreast of emerging trends and technologies.
  • While a qualified outsourcing IT Consultant firm manages the product engineering services, you concentrate on developing business strategy.
  • You can provide the best high-tech goods for your customers at reasonable costs.

Product Engineering Examples 

Product engineering handles every stage of the product life cycle, from creativity (when a concept is first developed) to deployment and use acceptability testing. 

Here are a few instances to help you better understand various product engineering examples:

  • Generating Product Ideas
  • Technology Architecture
  • Device Design 
  • Product Testing 
  • Product Porting And Immigration
  • Technical Assistance
  • Sustaining Engineering
  • Remarkable service
Product Engineering Services.

Product Engineering Best Practices

A Unit Test: Finding software bugs is not the only goal of unit testing. It details the desired behavior of computer programs. The execution of expected behavior represents the tested code. The unit test offers a safeguard by confirming each code’s accuracy. The test is more likely to fail if the tested code is altered. Maintaining software functioning will be simpler if sufficient testing covers the code.

Engineering Discord: Businesses frequently use distributed systems to improve operations. Even when services are running smoothly, disruptions may occur, and unpredictable outcomes could emerge. Productivity may suffer if disruptive occurrences are coupled with unpredictability.

A reputable software product engineering business must consider software implementation. They might offer an answer to disturbances.

Even though this might not resolve the bugs, it might aid in locating some of them. Engineers should repeat the procedure for the best outcomes. The goal is to find program flaws before they have a significant impact.

A unit within an organization may experience a vulnerability if it receives excessive traffic. It might also happen due to a single failure or lack of service availability. When tackling the most critical weaknesses, be more proactive. This will facilitate quick problem-solving.

Emphasis On Project Scope: The best approach to determine whether a product is viable is to reduce the project scope. A software product engineering services company developer must reduce the area until it is nearly challenging to reduce it further. Making the project flexible and efficient is your aim.

The project’s scope will keep expanding, and unforeseen events could happen. Will also face Optimistic predictions in the corporate world. A technology officer can feel pressed for time.

Measure Crucial Variables: Regardless of expertise level, measuring critical parameters is crucial for all software engineers. People frequently make conscious or unconscious choices that affect their actions and behavior.

For instance, someone who measures bugs might aim for a specific metric. This person might optimize the bug count because the metric might be centered on it.

Anything that is not optimized or measured could reach critical levels. Operating expenses, quality control, and system complexity are crucial variables to track. If the application fails, solving problems without measuring essential data will be challenging.

The project’s results depend on the metrics you use. Examine whether improving the metrics can produce the best results. When the optimal goal is achieved through natural gamification, well-designed metrics are advantageous.

Consistency in Program Codes: Code your programs consistently. A consistent code of conduct is crucial when working on projects with a team. ESLint is one resource for applying a uniform style. This program has grown in popularity due to its simplicity of configuration.

Other utilities are JSCS (Javascript Style Checker) and Editorconfig. The JSCS format is outstanding and user-friendly. Editorconfig’s consistency allows use with various editors and practical IDEs.

The ideal place to begin is with sound MVP engineering. Good software written with modular interfaces produces desirable results. Coding programs will allow your teams to run smoothly. Thanks to good development techniques, the software becomes less susceptible to attacks.

Quick Application Development: Rapid application development is the best method when your business’s objectives are precise and confined. They created this method in response to the urgent necessity for software development. Software development using a linear sequential model is done quickly with RAD.

  • Dockers: Now, when discussing rapid application development, let’s include one quick application development tool.

In product engineering, Docker is a well-liked platform for developing, deploying, and managing applications in a containerized environment. Docker containers offer a consistent runtime environment across several platforms and operating systems and are compact and portable.

Docker containers are used in product engineering to combine an application’s code, dependencies, and runtime environment into a single image. Applications can then be easily moved between development, testing, and production environments by deploying this image on any Docker host.

Moreover, Docker offers management and scaling tools for software, such as Docker Compose for multi-container applications and Docker Swarm for clusters of Docker servers.

Ultimately, Docker has become a crucial part of contemporary product engineering because it allows teams to develop and deploy applications more quickly and dependably while streamlining the management of intricate distributed systems.

The software developer uses the component-based building to accomplish speedy development. Teams work on user design, cutover, requirements planning, and construction, among other things.

User interaction is one advantage of RAD.

Product Engineering Overview

Designing, creating, testing, and improving a product to satisfy consumer wants and expectations is known as product engineering. A product engineer oversees and manages the entire product development process in the context of product engineering.

The following is an overview of product engineering from the product engineer:

The product engineer collaborates with the design team to develop a product concept, taking into account the client’s demands and preferences as well as any technical constraints.

Product development: After the product design is complete, the product engineer collaborates with the development team to produce a prototype. They make sure the item complies with the requirements and standards.

The product engineer does product testing to ensure the product is reliable, effective, and safe. They collaborate with the testing team to find any flaws or problems that need to be fixed.

Enhancing the development: The product engineer monitors and improves the product even after it is released. They gather customers’ comments and use this data to improve the product.

Ultimately, the product engineer is essential in ensuring the final product meets the consumer’s demands and expectations. To succeed in this position, they must have a solid grasp of the procedures involved in product development, technical expertise, and problem-solving abilities.

Conclusion

Despite being a relatively new term in the technical language, “product engineering” has garnered a lot of momentum and is now assisting enterprises in accelerating their commercial operations.

Additionally, it increases efficiency and is crucial in boosting ROI, which lowers costs and boosts production. It becomes vital for growing your clientele and gaining additional user knowledge for formulating profit-driven plans.

Product engineering is essential to creating a successful product. It entails creating a unique product concept, determining the best approach to represent it, and establishing the course for the entire process. Because of this, product engineers are involved in practically every level of the development process. 

They handle both managerial and technological issues. Unsurprisingly, sound product engineers must possess expertise, accountability, and relevant work experience. Since finding such a candidate for an internal role can be challenging, so many companies work with outsourcing service providers. These services, among others that aid with software development, allow for the outside generation of new ideas.

Product Engineering Vs. Product Development: Key Differences

People often confuse “product engineering” and “product development.” Undoubtedly, these two concepts are closely related, but they differ in several fundamental ways. Product development is a broader term that includes every step of product creation, from visualization to the final project. Product engineering also lies under the umbrella of product development, but it is a bit more specific.

Product engineering focuses explicitly on designing, developing, and optimizing the product’s technical aspects, ensuring it meets performance standards, regulatory requirements, and customer expectations. At the same time, product development encompasses a broader array of activities, including market research, creativity, testing, and marketing; product engineering zooms in on the technical intricacies of bringing a product from concept to reality.

You might ask why it is vital to understand the key differences between product engineering and product development. Knowing what product engineers exactly do can open new opportunities for collaboration between the engineers and businesses that hire them. This collaboration can help developers and engineers design a more impactful and user-friendly product.

If you’re planning to pursue your career in mechanical engineering or your company plans to develop a new product, understanding the difference between product engineering and product development can benefit you in numerous ways. Please scroll down to explore the similarities and differences between these two more comprehensive concepts.

 

What is Product Engineering: An Overview

Product engineering is an essential aspect of product development. This concept typically starts after thorough market research and visualization. Product engineers consider the practical factors of prototypes and designs, such as safety, functionality, ergonomics, mechanics, and structure.

Product engineering ensures a product is perfectly designed while meeting all safety measures. Mechanical (product) engineers design, create a prototype, and test a product to go beyond and above the customers’ aspirations and expectations.

Fundamental Elements of Product Engineering

Product engineering entails the following critical aspects:

  1.     Product Visualization

Creating a unique concept for product design is an essential element of product engineering. Mechanical engineers use marketability feedback, user feedback, and end-user surveys to develop a robust design concept. Sometimes, they also create different product design concepts and prototypes to help identify the right product design for the target audience.

  1.     Material Analysis

Product engineers are also responsible for analyzing the reliability and suitability of the materials. They use their experience and in-depth understanding of prototype materials to determine which type of product would be an excellent fit for the selected product. This process involves numerous factors, such as product functionality, cost, and aesthetic appeal.

  1.     Testing

Once design concept prototypes are developed, mechanical engineers test them to fix any bugs or flaws in their design. They often use different prototypes to access the customers’ trial feedback. This data helps product engineers determine which product model is more popular among the target audience.

  1.     Prioritizing User’s Preferences

Ensuring the user-friendly features of a product is one of the main aspects of product engineering. After completing the safety and structure testing of the prototype, engineers use customers’ trial feedback to adjust the design accordingly.

What is Product Development: An Overview

Product development begins with discovering a new concept to launch as a product. It includes step-by-step planning to eliminate imperiling resources. Product development, like product engineers, also aims to develop products according to customer requirements. Effective product development can increase the company’s market share. Companies conduct deep market research to know about their customer base.

Fundamental Elements of Product Development

A product development process includes the following stages:

  1.     Conceptualization

Larger companies and organizations have an ideation team that develops and screens new product development ideas. After conceptualization, companies strive to transform it into a concept. They create different alternative products and compare them. This approach helps businesses determine whether their selected ideas meet customers’ needs.

  1.     Business Analysis

This stage involves analyzing the sales, profits, and risks associated with the product. It helps companies identify if the product is commercially feasible. For business analysis, professionals conduct market surveys and check the sales history of similar products. They recognize the potential risks associated with the product, which can help reduce developmental problems in the future.

  1.     Product Development

The next step is converting the concept into a tangible product. During product development, the marketing team develops different marketing strategies to distribute the product, and the finance team calculates its expenses.

  1.     Testing

Once a product is developed, the company launches its prototype to obtain customer feedback. It helps officials test their marketing strategies and product suitability. Developers use this customer data to make the required enhancements and changes in the product.

  1.     Product Marketing

If a product passes through test marketing, the company uses effective marketing strategies to advertise it. This stage includes the identification of the target audience and the preparation of product launch strategies.

 

Product Engineering Vs. Product Development

Product Engineering Product Development
Product engineering entails designing, developing, and testing product features. Product development is a complete procedure from conceptualization to the final product.
It aims to create better products than prototypes, depending on customer feedback. It considers the right target audience to add new features to the product and increase brand awareness.
Product engineers use creative thinking to make added features more accessible and impactful. Product developers introduce new product features to increase customer engagement.

 

Job Duties of Product Developers

Product developers must be proficient in strategic thinking, data collection, and analysis because they have to perform duties in these disciplines. The job duties of a product engineer may include the following:

  •         Analyzing sales data, product reviews, and customer feedback
  •         Consulting the finance and engineering teams to develop product specifications
  •         Evaluating the prototype and supervising the final design
  •         Submitting proposals to the project head
  •         Preparing the final cost estimation of the product

Job Duties of Product Engineers

A product engineer must have expertise in mathematics and prototype development. The job duties of product engineers may include:

  •         Performing continuous market analysis
  •         Using customer feedback to develop a new prototype or alter the existing one
  •         Considering additional raw materials to help create an ideal product

Frequently Asked Questions

  1. What is the difference between a product engineer and a product developer?

A product engineer focuses on the technical aspects of product design and implementation, ensuring functionality and feasibility. On the other hand, a product developer is involved in the entire product creation lifecycle, from ideation to launch, encompassing market research, design, testing, and production.

  1. What is product engineering and development?

Product engineering involves:

  • The application of engineering principles and techniques to develop and optimize products.
  • Ensuring they meet performance.
  • Reliability.
  • Cost requirements.

Product development, on the other hand, is a broader process that includes market research, conceptualization, design, testing, and production to create new products or improve existing ones.

  1. What is the difference between product engineering and R&D?

Product engineering applies engineering principles to develop and optimize products for market release. Research and Development (R&D), however, encompasses a broader scope, including scientific research to discover new technologies or concepts and the development of those discoveries into tangible products or processes. While product engineering focuses on implementation and optimization, R&D involves exploration, experimentation, and innovation.

 

Conclusion

Product engineering and product development are critical to each other, but they differ in several ways. Product development is a step-by-step procedure for developing an impactful product, whereas product engineering is a specific aspect of product development. Both concepts aim to build a product that can meet customers’ expectations.

Banking and Financial industries in Digital

How the Banking and Finance Industry is Transforming Digitally?

Banking and Financial industries in Digital

Beyond moving from a traditional to a digital environment, banking has undergone a tremendous digital revolution. Banks and other financial institutions must use a thorough digital transformation strategy to assess, engage with, and service their customers.

The coronavirus outbreak has clarified that banking institutions need to speed up their digital transitions. However, the banking sector needs to modify its business models for front-facing and back-office operations to keep up with the changes and avoid potential upheavals.

True digital banking and a complete transformation are built on implementing the most recent technology, such as blockchain, cloud computing, and IoT.

In terms of customers, a Statics analysis estimates that by 2024, 2.5 billion people will use online banking services. Online banking programs, data encryption software, virtual assistants, KYC system software, website optimization, etc., are a few instances of banking moving into the digital age.

This raises many concerns about digitization in contemporary banks and other commercial institutions.

Understanding client behavior, preferences, and needs is the first step in the fundamental approach to digitalization in banking and fintech. As a result, the banking industry has changed from being product-centric to becoming customer-centric.

According to a survey, the global market for digital banking platforms is anticipated to increase at a CAGR of 11.3% from USD 8.2 billion in 2021 to USD 13.9 billion in 2026. The report states that this growth results from the expanding use of cloud computing in banking institutions and the growing demand among banks to provide the most outstanding client experience.

What Is Digital Transformation In the Banking Sector? 

Due to the digital revolution, banks of all sizes are rushing to implement new technology and services. But what does the term “banking digital transformation” actually mean? The main components of the digital transformation in banking are the transition to providing online and digital services and the many back-end improvements necessary to support this transformation.

The operational and cultural movement toward integrating digital technologies across all bank functions, maximizing operations and customer value delivery, is known as “digital transformation” for banks. If carried out effectively, digital transformation can increase the bank’s capacity to compete in a market that is becoming more saturated.

Banking and Financial industries in Digital

Examples Of Digital Transformation In Banking 

In terms of their digital transformation plan, banking institutions will profit from putting the following solutions into practice:

  • System for detecting fraud.
  • Software for Know Your Customer.
  • The platform for big data analytics.
  • Encryption of Data.
  • Software for mining and analyzing big data that is built on microservices.
  • Software for modeling and simulation. 
  • Solutions for data generation Banks struggle to obtain enough data for machine learning applications, such as developing fraud detection systems, since they don’t share their information with other financial institutions.
  • Virtual helpers.
  • Internet-based financial services.
  • The technology behind blockchain.
  • Artificial intelligence use (AI).
  • Collection, management, and analysis of customer data.

Banking and Financial industries in Digital

The Switch To Digital Banking From Traditional Banking

Despite significant obstacles, most banks started their journey toward digital banking years ago with a clear strategy. The trend toward digital banking began when financial leaders discovered that most users were using digital channels.

The banking industry has become more client-inclusive and tech-savvy due to the top-down application of digital strategy. What does the transition from conventional to digital platforms look like as it develops? Let’s review the high points of this trip.

More clients used their mobile applications and websites to complete transactions, making mobile banking a critical component of the transition to digital transformation in banking.

Traditional banks had to adopt new technology and operational models that could keep them informed throughout the client journey to keep up with the rapidly evolving market.

The development and increased demand for blockchain, artificial intelligence (AI), and the Internet of Things (IoT) all simultaneously contributed to accelerating the banking sector’s modernization.

This shift to digital banking has improved efficiency for financial service providers, resulting in growth, convenience, and the chance to attract more potential consumers. This brings us to the subject of our discussion: the essential elements that enable digital transformation in banking and financial services.

Digital Transformation In Investment Banking

Investment banking concerns businesses and large sums of money, which occasionally may result in even more significant losses for a bank or other financial organization. Due to the intricacy of fraud schemes and the fierce competition in the Fintech market, investment banking is bound to fail without clever digital transformation.

Startup Fraud Detection: 

Over 52,420 startups are located in different countries, according to a survey. Banks cannot tell if they are looking at a potential startup that will become a unicorn or another hoax that will vanish as soon as they receive the investment money without using effective fraud detection software.

Due to banking institutions’ investments in their proprietary fraud detection systems, the risk of providing loans to fraudsters has significantly decreased or eliminated. The accuracy of the findings produced by these systems, which incorporate artificial intelligence or machine learning components, depends entirely on the calculation modules’ caliber and software engineering.

Trend Analysis And Modeling:

A high-quality analytical platform can show you projections for the coming years, months, and even decades, giving you a chance to modify your business plan as necessary or demonstrating that you’ve already decided on the best development course and should continue. Monitoring software is essential for all banking industry businesses.

Banking sector conditions are changing due to active digital transformation. Depending on the software you’re using and the supplied data, you can generate various future market modeling scenarios.

Massive Data:

Investment banking companies primarily employ big data for analytics, forecasting, and fraud detection. Big data and machine learning can safeguard your financial institution today by spotting fraud, personalizing offerings for each customer, and enhancing transaction security.

This data also aids in creating and modifying a customer journey map to increase customer happiness and retention. Additionally, this combination helps safeguard your Fintech company in the future by forecasting developments. As a result, you can exercise greater caution when choosing lending institutions, recruiting employees, etc.

Digital Transformation In Retail Banking 

The digital wildfire has not spared the retail banking industry; customer-first banks are already on their revolutionary journey to serve their customers primarily using digital technology. According to a Business Insider study, active digital clients significantly increased in the third quarter of 2019 compared to the same period in 2018.

Human Fraud Detection: 

Whenever a supervisor reviews a loan request, it could take hours or days, and there is no assurance that essential details will be missed, leading to a poor choice for the banking institution. Banks with integrated KYC (Know Your Customer) software, on the other hand, complete the validation process quickly and with decisions of a substantially higher caliber.

Depending on your access to official databases, you can verify a client’s administrative and credit history and improve your loaning and other financial operations. In some circumstances, data extracted from public social media profiles can aid in detecting fraud.

Web Of Entities:

Your digital banking transformation will include integrating the Internet of Things to make customer service procedures as efficient as possible. For instance, a customer tracking system will gather information on how your staff and customers move, process it, and identify areas that require restructuring or change to improve the quality of services.

IoT additionally facilitates the customization of offers and the beginning of profitable collaborations with businesses operating in other sectors. Your IoT system, for instance, can track that a bank client has looked up a particular automobile model and has at least once visited a car showroom.

You can give the customer a personalized offer by advertising, informing them of your “new” car loaning program after the KYC system verifies that this client has a solid past.

Massive Data:

Every day, thousands of customers and their transactions are handled through retail banking. Big Data solutions can help you improve your skills and boost client retention and satisfaction rates. Customers anticipate that their demands, including payments, will be handled immediately. When the system keeps customers waiting for minutes, a poor customer experience causes your clients to move to your competitor’s services.

Primary Drivers Of Digital Banking Transformation

The trend toward digital transformation for banks, which brings financial solutions to customers’ doorsteps, is primarily driven by rising intelligent device usage, growing connectivity, and increasing demand for end-user experience. Six crucial criteria also have a significant role in the success of digital banking in addition to these aspects.

Significance Of Clients:

Why would banks switch to online platforms? Because their consumers are there. The main goal of the digital strategy is to meet the needs and expectations of the target audience. With modern solutions, banks now provide individualized product experiences, seamless query disintegration, transparency, and security at the heart of client happiness. In other words, the change has necessitated adopting a “customer approach,” delivering the highest level of participation.

Leadership Practise:

Customers today require a hybrid experience that combines speed and convenience with a personal connection to the product. For this reason, the changing banking industry uses three different operating models.

  • Trade of digital 
  • Digital is the newest business sector
  • Virtual native 

Futuristic Architecture:

As was already established, successful digital transformation in banking requires more than just contemporary technologies. Due to the supporting infrastructure that makes data accessible to front-end operations, the digital transformation of financial services has improved today. Therefore, modernizing the outdated infrastructure has been critical in advancing the banking industry’s digital transformation.

Impact Of Facts:

Financial and banking firms are aware of the influence of consumer data. More data analytics techniques must be implemented to study and track client trends. This has aided the banking industry in providing more pertinent goods and services in line with consumer demands. This is likely why major fintech companies use development firms to handle data analytics needs.

Digitally Driven Market:

We must recognize how digital skills are advancing the banking industry and every area, including industrial, eCommerce, agribusiness, and IT.

This encompasses the corporate culture, technologies, approaches, and competencies that support the digital transformation process. As a result, one motivating factor for banking’s transformation to digital is that the entire consumer market is on the verge of becoming digital.

Modern Banks Employing Digital Technology 

When digital transformation in banking and financial services was introduced, the banks started by creating a detailed strategy to redesign their operational models, improve consumer offers, and build an end-to-end customer-centric process.

For this process to be successful in producing value for banks and their clients, the banking industry had to adopt digital transformation technology.

The most popular tools and technologies used by the digital banking industry are listed below : 

AI And ML:

Online assistants and chatbots in banking use AI to help customers by delivering the information they need to solve problems. Additionally, artificial intelligence is employed for data management and analysis, data security, and improved customer experience.

For instance, by quickly evaluating customer data, AI can spot repeating trends.

Machine learning is another tool that banks can employ to collect, store, and compare user data in real time. Fraud detection is one of the main benefits of machine learning in the banking industry. With machine learning, it is simpler to identify changes in user behavior and take prompt preventive action.

Banking and Financial industries in Digital

IoT:

Real-time data analysis made possible by the Internet of Things helps to personalize and tailor the client experience. Thanks to IoT and intelligent connectivity, customers may easily make contactless payments within seconds. Additionally, introducing risk management, authorization procedures (using biometric sensors), and access to several platforms by the Internet of Things has completely changed the economic environment.

Blockchain:

Blockchain is essential to any discussion of digital transformation in banking implementation. The adoption of blockchain in the financial industry has led to safer data transfers, more precision, and improved user interfaces. Modern consumers have a strict faith in blockchain technology and think it has improved the convenience and transparency of banking transactions. One of the most significant developments in digital banking technology has been the integration of blockchain with IoT.

Cloud Technology And APIs:

The most common technology banks and the financial sector use is cloud computing. Improved operations, increased productivity, and immediate product and service delivery are all benefits of cloud-driven services.

Thanks to cloud integration, banks are now more willing to use banking APIs to encourage data sharing and improve the user experience.

Big Data Analytics:

Customers today view banks differently than they did ten years ago. All

Big data technology aids banks in tracking risks, managing feedback, and evaluating customer spending to boost loyalty.

Data analytics tools have opened up new opportunities for banking growth and have quickly satisfied escalating consumer demand.

Advantages Of Digital Transformation In Banking

The following advantages of digital transformation are available to financial institutions:

Enhanced Data Handling Layers Of Security:

Data encryption protects banks from internal and external information leaks to fraudsters and rivals. Most importantly, it makes transactions more secure. 

Shorter Wait Times And Faster Operation:

Customers dislike waiting, especially if they trust your bank with large sums of money. A microservice-based design for extensive data processing systems ensures quick and secure transaction processing.

New Clients Identification:

Customers and businesses need each other’s services. Financial institutions are no longer apathetic about their offerings, making it cheaper and simpler to attract new clients for all industries, not just banks. Thanks to immediate online payment, every client and company may function without hassles.

For Financial Institutions, Improved Evaluation And Risk Management:

You won’t experience issues with fraud schemes if you have effective fraud detection systems. Additionally, multiple-level validation of transactions will prevent any potential errors your customers and employees make.

Possibilities For Prediction:

Your ability to succeed financially depends on your ability to foresee future issues and changes that will affect your market. It will be easier for you to prepare in advance if you have reliable knowledge of various potential events, from minor ructions to a catastrophe in the world economy. By doing so, you can move your company to a different, more promising, and lucrative sector before your rivals and implement winning Fintech solutions ahead of them.

Personalization:

Customers appreciate timely offers that address their needs but detest receiving generic offers they don’t require. Using software with the appropriate analytical, data mining, and processing compounds, you can customize your offerings and make this process automated and secure.

Repetitious Duties Are Automated:

It is mindless and inefficient labor for your staff and business when managers repeatedly extract the same data to create the same reports. This is because you are paying salaries for work that can be done more effectively by a single piece of software in seconds rather than hours or days by human labor.

Innovation And Adaption In Business:

Banks and other businesses now have more ways to connect with their clients because of the rise of social media, e-commerce websites, and mobile banking applications. Due to the banking industry’s digitization, numerous new company developments now depend heavily on financial services.

Adherence:

With the advent of the digital financial management system, compliance has become simpler for banks to maintain. Thanks to advanced capabilities like auto auditing, employees spend less time auditing reports and documents. Digital data supports its standardization and can be flawlessly exchanged across several systems. The cloud-based digital payroll system also provides fast updates so banks can handle changing requirements.

Digital Transformation Tools For Bank 

Businesses that use cutting-edge digital technologies instantly gain a commercial advantage. With digitization, your company gains complete control over front-end and back-end activities from start to finish, as well as consistency and usability. 

What digital tools can you use for your company? Here are a few illustrations:

Mobile Applications:

Businesses can benefit from mobile apps in a variety of ways. One can access their financial information, customized options, bank accessibility, and personal financial management with banking apps. However, this is not exclusive to the banking industry; any business application aids an organization in better understanding and catering to its clients on a personal level. This is perhaps why over 82% of businesses with an online presence use app development services to produce their standalone applications.

Tools For Data Analytics:

The secret to success is getting the most value from the company data. Data analytics products and services might assist you in turning routine data into insightful business information if your company deals with vast amounts of data from numerous sources.

Final Analysis – How Can You Achieve Digital Transformation In The Banking Sector?

Digital transformation in banking, like in most sectors, is costly. Financial institutions must consider this and set aside the necessary resources to ensure successful implementation.

A bank or any other institution can undergo digital transformation in various ways. Although it can be begun internally, an expert is required if you wish to take a comprehensive or sophisticated approach.

The previous year, they taught us that every firm might succeed in a digital environment with a robust digital transformation strategy.

In 5 to 10 years, technology in the financial sector will be unrecognizable. If industry leaders quickly acknowledge and accept this truth, they may move faster to implement technology initiatives that will help them stay competitive and relevant in the digital world. Failure to use technology could cause inefficiency, market share loss, and the inability to compete with peers.

The advantages of digital transformation for banks are numerous. However, the project needs to be well-planned and carried out. Failures in digital transformation can lead to poor data quality, angry customers, and expensive system replacements.

Mobile apps in Healthcare

The Role of Mobile Apps in the Advancement of Healthcare

Mobile apps in Healthcare

COVID-19 made history in our lives and the healthcare industry. Digitization in healthcare has increased as users demand more advanced solutions for their healthcare requirements. Statistics highlight that telemedicine has significantly improved in the past few years, including remote doctor-patient consultation and remote patient monitoring.

 As more users appreciate technological advancements, the demand for healthcare app development has become inevitable. Some surveys highlight that the mobile healthcare application industry will reach $300 billion by 2025. This means developing a mobile healthcare app can be the most significant investment. 

Healthcare app development requires a complete setup and deep market analysis. If you’re considering creating a medical startup, this article is exclusively for you. Here, we will cover every aspect of healthcare app development, including its cost and benefits for doctors and patients.

Healthcare App Development Process

A healthcare app is designed to simplify the lives of doctors and patients. mHealth is a broader niche that includes a variety of mobile applications. Depending on your chosen app category, a mobile healthcare application may differ in purpose.

Steps for Building a Healthcare App

Healthcare app development is a complex process that differs from other apps in numerous ways. Follow the steps below to develop a healthcare app that will make your thorny path shorter and more accessible.

Do Through Market Research 

Statista shows that more than 52,565 healthcare apps are available on the Google Play Store and 51,370 on the Apple App Store. This data-driven information indicates that you must put extra effort into making your app stand out. Research your niche and identify your competitors. Competitor analysis will help you determine your competitors’ strengths and weaknesses, which will help you beat the competition. 

Prioritize Your Audience 

When developing a healthcare app, you need to cater to the sensitivity of your audience’s problems. The user research phase is the most significant step of healthcare app development. This phase helps you understand the users’ problems and determine how your app can benefit your targeted audience.

Select an App Type 

The next step is choosing a suitable app type. Numerous types of healthcare apps are available for professionals and patients.

Design mHealth App

Create an app design that can bring more value to users. A mHealth app should be intuitive and consistent, smoothly leading users to the endpoint. The fewer your app’s interaction points, the better user experience it will deliver. 

Designing a healthcare app is the core phase, so focus on hiring a professional mHealth app development company.

Test Your App for Quality Assurance 

Once your medical care app is developed, it’s vital to fix bugs and glitches that may hamper the user experience.

Mobile apps in Healthcare

Healthcare App Development Cost

The ultimate cost of developing a mHealth app depends on the developers’ rates and the features you want to add. A simple healthcare app may take 800 to 1,000 hours to complete, whereas a complex app takes about 2,000 to 2,500 hours. 

Here is a breakdown of healthcare app development costs depending on regions and complexity.

Region  Cost with Simple Functionality  Cost with Advanced Functionality 
Germany  $48,000 $120,000
UK $44,000 $110,000
USA $64,000 $160,000

 Healthcare Mobile App Types and Trends 

Mobile app development has made the lives of patients and medical professionals much more manageable. Mobile app development has covered every aspect of the medical industry, from treatment monitoring and clinical documentation to maintaining health records. Healthcare mobile apps are divided into three broad categories:

Healthcare Apps for Professionals 

As the name suggests, professional healthcare apps are centered around doctors. They are used as mediators in communication between a doctor and a patient. You can choose from the following types of professional healthcare apps:

  • Telemedicine Apps
  • Networking Apps for Doctors 
  • Doctor Appointment Apps 
  • Health Tracking Apps
  • Medical Reference Apps
  • Report Monitoring Apps
  • Medical Health Record Apps 

The professional healthcare apps aim to help doctors interact more effectively with their patients and share health-improving tips with them.

Healthcare Apps for Patients 

Healthcare apps for patients have gained massive penetration in the healthcare sector due to their instant availability and flexibility. You can find the following types of healthcare apps for patients:

  • Fitness Apps 
  • Dieting Apps
  • Medical education Apps
  • Women’s Health Tracking Apps 
  • Diagnosis Apps 
  • Mental Health Apps
  • Healthy Lifestyle Apps
  • Reminder Apps 

Healthcare Apps for Medical Institutions

  • Inventory Management 
  • Clinical Assistance Apps with EMR and HER Access 
  • Billing Apps 
  • Scheduling and Appointment Apps 

Mobile apps in Healthcare

Healthcare Application Examples 

To make your healthcare app more impactful, you must tailor it to your users’ requirements. You can get inspiration from the following healthcare applications:

  • WebMD
  • HealthTap 
  • Headspace 
  • PEPID
  • Apple Health 
  • Teladoc 
  • Medici 
  • SleepCycle 

Benefits of Healthcare Apps for Patients and Doctors 

Medical apps benefit clinicians and patients through the quality of services and effective communication. Doctors, patients, and hospital staff highly appreciate these apps. Medical mobile applications can change the healthcare space in the following ways:

  • With mHealth apps, doctors can monitor their patients’ health from a distance. Mobile apps also enable professionals to access electronic health records in real-time and share helpful health tips with patients.
  • Patients can track their activities, such as meals, sleep times, and steps while running or walking, with mobile healthcare apps. They can also measure their different body conditions, such as glucose levels, heart rates, and blood pressure levels.
  • App development in healthcare also offers easy and efficient payment options to make payments for you and your loved ones. 

Best Practices and Features in Healthcare Apps

Your mobile medical apps must have the following features to give a more impactful impression to your audience:

  • Appointment management 
  • Electronic health record (HER) feature 
  • E-Prescriptions 
  • Video conferring and messaging 
  • Staff management 
  • Payment Integrations
  • Accessibly UI/UX
  • Doctor and patient profiles 
  • Users’ dashboard 

The Bottom Line 

Adopting the latest technologies, such as IoT and Artificial Intelligence, has opened new doors for healthcare app development. Developing a mHealth app can be a tedious process. Getting help from a trusted Mobile App Development Company can be ideal for creating a custom application.

Digital transformation in Health care

Digital Transformation In Healthcare

Digital transformation in Health care

The healthcare sector is experiencing significant innovation and improvement thanks to the digital revolution. Healthcare organizations may significantly improve staff satisfaction, improve patient care, and enable better and quicker diagnosis by implementing cutting-edge tech solutions. Healthcare organizations that adopt digital transformation will also have the agility needed to optimize operating procedures while reducing expenses.

Digital transformation in Health care

What Is Digital Transformation?

Let’s start with this fact about digital transformation and how it works. Digital transformation is broadly defined as integrating digital tech into all facets of a business, profoundly impacting how firms run and provide customer value. 

It’s a cultural shift that necessitates constant status quo challenge, frequent experimentation, and comfort with failure on the part of organizations. This can often entail abandoning established business procedures upon which businesses were founded in favor of more recent approaches currently being developed.

What Is Digital Transformation In Healthcare?

The term “digital transformation” refers to how an organization leverages technologies and digital solutions to enhance the patient experience, streamline operations, and increase accessibility and affordability of on-demand patient care in the healthcare sector.

These technologies alter how patients interact with medical professionals, how their information is shared among suppliers, and how decisions regarding their treatment plans are made.

Digital transformation in Health care

How Is Digital Healthcare Used In Medicine?

Digital transformation has already revolutionized the healthcare industry. Technological developments like electronic health records, online scheduling, telemedicine, SaDM, and AI-powered medical services exemplify digitalization in the healthcare sector.

Computerization 

Computerization is the most effective tool available to the healthcare sector, benefiting drug producers. Technologies make it possible to examine materials with great depth and accuracy. Automation algorithms can benefit microbiological studies by increasing study productivity, exploring and evaluating specimens, and enhancing the quality of laboratory research.

Quick Fix For On-Demand Wellness Program

Not a lot has changed in terms of health. Patients believe they need an immediate answer to their concerns, which is where our on-demand healthcare service can be helpful.

It allows doctors to offer patients so-called “on-demand” medical care, but only if their needs align with their training, experience, and availability. As a result, doctors are better able to adapt their medical services to the changing demands of their patients.

Ambulance Linked 

As the patient is being carried to the necessary department, a connected ambulance assists healthcare providers by gathering and sending all essential patient data that may be obtained through wearables, sensors, and HD cameras to the hospital.

Doctors can better assess the nature of the emergency when high-resolution video calls are made between the ambulance and the hospital. They can remotely check on the patient, identify symptoms, and prescribe immediate care that paramedics can administer en route to the hospital.

Patient Portals (Online Tool For Health)

A scanner portal is a website dedicated to your individual medical needs.

You can use online applications to keep track of your doctor visits, test results, billing, prescriptions, and other information. Through the portal, you can also email your provider with questions.

Many providers currently offer patient portals. To access them, you must create an account, and a password is used to keep your information private and secure.

The evolution of healthcare solutions is the development of particular healthcare platforms where patients can do these things effortlessly.

  • Verify the prescription.
  • Make an appointment with the experts.
  • Consult with their doctors or request more information from them.
  • Examine the medical records and obtain the laboratory findings.
  • Give the medical professionals their health information.

Telecare & Online Consultations

According to the study, 83% of patients who were polled indicated they were willing to adopt telemedicine, which is expected to grow in popularity after the COVID-19 pandemic breakout in 2020. 

The rise of virtual medical appointments is one of the most remarkable advances in healthcare. Unlike an in-person hospital visit, it enables scheduling appointments with specialists at a time and location that is most convenient for you.

History Dieses Analysis

More and more tools are available nowadays that examine a patient’s disease history and provide recommendations to clinicians regarding treatment. Thoroughly studies a patient’s previous health issues and provides a customized treatment plan that may result in the most significant outcomes.

Health Trackers

People today are more concerned about their health than ever before. Rather than going to the doctor when they are ill, they constantly search for efficient yet practical solutions to check their health indicators.

That was the primary factor for the sharp rise in wearable medical device sales. The digitalization of healthcare makes it possible to track several health variables and deliver precise health data in real-time. 

Here are the categories of medical equipment :

  • Oximeters 
  • Smartwatch 
  • Sweat meters 
  • Exercise and fit 
  • BP machines
  • Mobile apps for health checkups 

Apple Watch is one of the most well-known wearables to hit the market. Since its first release on September 9, 2014, the wristwatch has been used to record body temperature, weight, and periods and measure heart rate and exercise. It can also remind you to drink water or wash your hands. Doctors can analyze health parameters and make diagnoses. 

Challenges And Factors Related To Healthcare And Digital Transformation

Various difficulties are associated with the widespread use of cutting-edge technologies in the healthcare industry, such as voice assistants and AI. The main challenges must be considered while implementing digital healthcare solutions.

Data protection: The hazards posed by patient data are now more critical than ever as the industry shifts towards collaborative care. The risk of data loss continues to plague the patient care industry severely in the absence of adequate data privacy protections.

Telemedicine technological trends have created a dynamic and distributed healthcare industry. Due to this critical shift in digital health methods, there is a risk of inappropriate worker authentication and access. Things could worsen when there is no architecture to connect healthcare practitioners and their dispersed patients. Additionally, it is interesting to read How to Build a Medical Startup, Challenges to Avoid, and the best markets to launch your healthcare products.

Patient Data And Security:

All healthcare institutions are concerned about cybersecurity regarding digital transformation in healthcare.

This is because cyberattacks frequently target precious, private, and sensitive personal health data, which can disrupt patient treatment.

For example, a malware attack on a private hospital can appear low-risk.

However, a breach of patients’ privacy from such an attack might easily harm a hospital’s reputation, fraud, discrimination, and other issues.

Therefore, it is strongly advised to take the necessary steps to increase security and stop cyberattacks.

Cost Element:

Cost is another issue that causes many healthcare institutions, businesses, and industries to put off digital transformation plans. Although the digital transformation of healthcare calls for significant financial outlays on technology and a collaboration with a software development firm. In contrast to the conventional strategy, digital transformation can offer greater scalability, profits, and improved revenue. There are a few approaches to digital transformation in healthcare that can reduce costs.

Resistance To Shift:

A survey found that most healthcare professionals acknowledge that their busy schedules prevent them from participating in training for the latest technologies. Ironically, they frequently devote hours to administrative work at hospitals that could easily be automated through digital transformation. 

Digital transformation involves altering how professionals and healthcare organizations think and work. Therefore, overcoming resistance to change is essential before starting the digital transformation journey.

Interoperability Issues:

One of the critical objectives of digital transformation is enhancing system and device compatibility. Many outdated systems, though, are incompatible with more modern technology. Data silos and a lack of information sharing may result from this. Resources may be further taxed by the arduous and time-consuming process of integrating new technology into old systems. Sometimes it could even be required to completely replace legacy systems, which can be expensive and disruptive.

Switch Regime:

The organizational structure and culture may need to be altered significantly due to the implementation of digital technology. These improvements may encounter resistance from the workforce, which could affect adoption rates and overall success. In particular, many people are reluctant to accept change regarding technology. They could be unwilling to learn new techniques or tools for fear of losing their jobs. This resistance may result in decreased productivity and jeopardize the transformation’s effectiveness.

Healthcare firms can improve their chances of success with digital transformation initiatives by being aware of these potential obstacles.

Implementing HIPAA Regulations:

Complying with HIPAA Regulations is the final issue with digital transformation in healthcare.

The HIPPA law aims to preserve people’s private health information and medical records at all costs. This rule was developed to give people control over how their health records are used and shared.

  • Ensure the absolute confidentiality, availability, and integrity of patient medical records.
  • Protect yourself from any potential online risks.
  • Protection from improper use of patient medical records.

Penalties for breaking the restrictions mentioned above include both civil and criminal fines.

Solution For Digital Transformation Challenges

Adopting these innovative solutions and technology is highly recommended to overcome these challenges.

Blockchain Technology In Healthcare

According to a recent study, the market for blockchain-based healthcare applications is expected to exceed USD 890 million by 2023.

Blockchain is a digital transaction technology widely used in the finance sector and is based on a decentralized network of computers.

  • Defend against cyberattacks
  • Recognize discrepancies in patient health data.
  • Publish patient data on a secure distributed ledger so that they can access and share it.

In reality, the Medical chain has already been using blockchain to solve the problem of patients’ fragmented medical records.

Adoption Of Agile Development Methodology

A very well-liked and widely applied methodology called agile software development significantly boosts the pace and adaptability of digital transformation.

Its progressive and iterative strategy has shown to be incredibly effective in adapting to new changes.

However, if you intend to close the gaps in your healthcare organization through digital transformation, it is crucial to collaborate with or outsource your project to a reputable software development business.

Make Changes To The Steering Committee:

Look at your current personnel and identify the influential, creative, and reliable individuals. These top performers should be brought together to form a cross-functional team serving as the change leadership team. This group will assist in developing a vision for your digital transformation process that is aligned with business objectives and was produced by people familiar with your company’s internal operations.

This enables businesses to approach digital transformation initiatives with a proactive mindset emphasizing the human side of change.

Business Objectives And Digitalization Strategy Alignment

Your transformation process aligns with your primary business objectives. It should enable staff to perform their jobs more effectively, improve the customer experience with more user-friendly systems that address more customer issues, and increase income for our company.

Educating Employees & Clients With New Software

It may seem challenging to familiarize your workers and stakeholders with new software created during the digital transformation.

The good news is that it is doable.

To teach your team and stakeholders how to use new software, you must develop a robust training program and prioritize participation.

Respecting your team and stakeholders’ time and busy schedules will go a long way toward encouraging their participation in the training program.

Therefore, giving lots of prior warning and setting precise and realistic dates for the new software training program is advisable.

Collaborate With An Organization With HIPAA-Compliant Software Development Experiences

Creating custom HIPAA-compliant software is difficult, expensive, and time-consuming. As a result, it is crucial to work with a trustworthy, seasoned healthcare software provider.

Therefore, it is advisable to explore potential healthcare app development companies before starting your digital transformation journey. Look through their prior HIPAA (Health Insurance Portability and Accountability Act)- Compliant software projects and contact previous clients for feedback.

Digital transformation in Health care

Benefits Of Digital Transformation In Healthcare

By utilizing digital transformation in healthcare, medical professionals and hospitals can streamline their operations, obtain more precise patient data and health indicators, and develop a more effective treatment plan faster. Of course, all of these elements positively impact the outcome.

Here are some points that will assist you in understanding it in more detail :

Improved Interpersonal Communication:

For good patient care, the whole healthcare sector heavily depends on communication. Additionally, digital transformation allows improved and seamless communication between all parties.

Better Time Management:

In the healthcare sector, digital transformation might waste much necessary time. As a result, many lives are saved because of the constant access to the patient’s medical records and real-time coordination. 

Improved Healthcare Service:

Because the healthcare sector is patient-focused, it is crucial to use cutting-edge techniques for accurate and appropriate diagnosis and treatment.

By integrating diverse technologies, healthcare professionals and institutions can offer patients more individualized and effective care.

Benefits Of Digital Transformation For Patients

Here are a few benefits that can help patients through digital transformation:

Superior And More Individualized Services:

Digital transformation in healthcare provides better and more effective health diagnoses and individualized treatment.

Personalization is a game changer in the healthcare industry.

  • Faster and more customized service
  • Improved doctor-patient communication
  • Info on personal health is readily accessible
  • Scheduling appointments conveniently
  • Real-Time Monitoring of Health Metrics

These are some points where you can understand that patients benefit significantly from digital transformation.

Access To Personal Medical Records Is Streamlined:

Patients can manage their health information online, track it, and get a thorough analysis of their health indicators. Digitalizing healthcare data enables quicker access to patient data, fosters provider collaboration, and uses less paper, toner, and storage space for physical records. 

Enhanced Online Communication With Doctors:

You can obtain thorough prescriptions and treatment strategies via email or on their portal page. Professional health services are also available online via video calls or chat.

Improving patient-doctor communication is one of the key advantages of digital transformation in healthcare. Patients may quickly and easily obtain the required information thanks to a more user-friendly interface and effective procedures.

Additionally, it increases understanding and clarity, which frequently result in errors. In addition, doctors can share patient information with other healthcare professionals through digital platforms, enhancing patient care. In the past, patients often had to repeat tests or wait a long time to get test results due to coordination issues and communication breakdowns. However, this procedure may be expedited and made more effective with the help of digital transformation in healthcare.

Benefits Of Digital Transformation For Healthcare Organizations

One of the finest ways to quickly boost the success of enterprises is through the transition to digital healthcare. Though the advantages of digitization are apparent, let’s highlight a few of them:

Cost Reduction:

Adopting a digital transformation plan can help healthcare firms cut costs on wasteful spending. By utilizing more economical services, healthcare providers can save expenses while offering high-quality care. Additionally, operational efficiency can be increased through digital transformation in healthcare, resulting in additional cost savings.

Balanced Workflow:

Digital healthcare may save paperwork, speed up patient exams, and make getting accurate patient health data more straightforward and more comfortable.

With digital transformation, patients may access their health system records more quickly and efficiently than ever. Healthcare firms are switching to digital workflows from paper-based systems to enhance patient care. As a result, patients may access their records quickly and easily during their visits to a hospital or clinic, making their time there more productive.

It also contributes to shortening the time needed for a patient examination. Healthcare businesses can lower expenses while improving the quality of care by utilizing digital technologies.

Secure Digital Data For E-Media Records:

Digital healthcare facilities can store patient records in a more secure setting. This reduces the risk of data loss or theft data and guards against unauthorized access.

Healthcare companies can guarantee patients can access the information they require by sharing digital records with them on demand. This can lessen the strain on doctors and improve patient care.

Digital Interaction With Patient:

Healthcare firms can communicate with patients more freely due to a digital technology strategy, which is one of its advantages. This involves connecting with patients via video conversations and other means of communication.

Enabling a more direct line of communication between the doctor and the patient can enhance the quality of care. Additionally, it can help lower the health hazards that physical examinations present to doctors.

Progressive Interaction With Medical Personnel is employed for quicker data interchange, more accurate patient diagnosis, and other internal communication.

Our crew at [x]cube Labs knows how crucial it is for medical facilities to keep up with and adopt the most recent trends in digital healthcare.

We, therefore, make every effort to provide the most effective technological solutions built upon the best frameworks that perfectly match the requirements and objectives of any firm and its employees.

Check out how we helped a healthcare organization improve its internal communication here. 

The Requirement For Healthcare Digitalization

The COVID-19 pandemic epidemic has expedited the implementation of digital health technologies throughout the healthcare sector. As healthcare professionals work to create resilient and future-proof healthcare systems, digitizing the healthcare industry is currently their top priority.

Surge In Chronic Diseases:

The burden of chronic diseases on the world’s healthcare systems is rising. Today, 400 million people have diabetes, 1.1 billion adults have hypertension, and more than 500 million individuals suffer from respiratory illnesses. Future projections indicate a rise in these figures due to aging populations.

Digital healthcare solutions that can aid in the quicker and more efficient detection and treatment of diseases—or, even better that can save people from ever developing chronic diseases—are thus urgently needed if healthcare systems are to remain sustainable.

Patients Demand More Individualized Care:

The epidemic has also significantly changed patient expectations. For instance, a poll found that almost 40% of consumers plan to continue using telemedicine in the future, compared to 11% before COVID-19.

With the world increasingly at its fingertips, patients’ expectations of healthcare have drastically changed. They now demand more concisely individualized treatment.

Staffing Issues Are Affecting Healthcare Providers:

Healthcare providers worldwide struggle with a workforce shortage as patient demand for care sharply rises. According to the WHO, there will be a global shortage of 12.9 million qualified healthcare workers by 2035.

According to a 2021 Medscape study, 42% of healthcare professionals said they were burned out, with the Covid-19 pandemic contributing to the stress for many. Thus, safeguarding healthcare professionals’ physical and emotional well-being is more crucial than ever. Workflows can be made more straightforward, and repetitive operations can be automated using digital solutions.

To Reduce Costs, Healthcare Providers Need Efficiencies:

Infrastructure and system maintenance costs constantly rise while reimbursement pressure is present, one of healthcare systems’ most significant problems.

Between 2020 and 2024, global health spending is projected to increase by 3.9% yearly, up from the 2.8% seen from 2015 to 2019. However, spending more money only sometimes results in more significant results. Administrative complexity is the leading cause of waste in the US, accounting for around 25% of all healthcare spending.

Healthcare leaders now place a high premium on cutting waste and increasing operational effectiveness. To do this, they want data-driven insights to identify the areas where the most significant gains can be made.

The Five-Step Project Planning For The Health Industry

There are five steps hospital systems can take to improve their clinical capabilities, address the modern healthcare industry’s changing difficulties, and draw in more patients and healthcare professionals. 

  • Start At The Foundation – Look through what you already have, such as the EHR, telemetry, real-time location system, patient engagement software, and legacy systems. Examine what works for you and what could be improved after you learn.
  • Conducting Detailed Evaluation – When you have all the data, work with the design team to prioritize the budget-allocated wish lists for each department. Next, the ROI, patient, and staff safety satisfaction, and HCAHPS ratings should be considered. Determine how to employ technologies to achieve specific key performance metrics.
  • Create The Technology Process Roadmap—To determine what problems can be solved with processes and what requires the incorporation of technologies, start by working on process design and technology mapping. Next, proceed with an integrated delivery strategy to address crucial issues like who would be in charge of the integration and who would own the project.
  • Deployment And Operation – Partnering with a healthcare software development business that pays attention to every tiny detail, manages projects effectively, works to realize a vision, and ensures KPIs are reached is crucial. All current and future problems must have workarounds, which the agency must know.
  • Authorization For Continuing Assistance – The next step is to include a clause to support continuous assistance for a seamless shift to digital healthcare. You should receive architecture and expertise from your joint healthcare software development firm that will enable you to overcome digitalization obstacles. It’s time to examine some of the most notable instances and use cases of digital healthcare solutions now that we have a better understanding of the steps contributing to digitizing the healthcare sector.

Upcoming Digital Trends In The Healthcare Sector

We have learned about all the benefits and drawbacks of digital healthcare and how the sector has undergone a digital transition.

So, let’s quickly go over the newest trends that hospitals can take advantage of owing to IT:

Telemedicine: Instead of wasting time traveling to the hospital, patients would like to communicate with doctors online. Everyone will soon have access to efficient online consultations, and this fantastic solution will gain more traction. 

Healthcare Available As Required: Patients desire complete patient convenience and scheduling compatibility with their healthcare. People frequently find all the information they require online. They research physicians, pick hospitals, and schedule visits.

AI: AI can potentially alter diagnostic and therapeutic processes while drastically minimizing human error. Additionally, it can assist organizations with managing electronic health records and provide deeper insights to improve care and make wise healthcare decisions.

Using a remote workforce: Increases the ability to hire more people, independent of location and competition in the health sector.

Chatbots are important for enhancing client interactions, delivering vital information instantly, and streamlining internal workflow (automatic appointment booking, crucial data changes, etc.). Additionally, patients can receive immediate feedback about the most frequently asked questions, which lightens the load on medical personnel.

Ecosystems For Emerging Entrepreneurs In Digital Health: These are important for advancing the use of advanced technical training and business coaching in digital health projects.

Platforms For Unified Data Sharing: Useful for communication with various healthcare entities, such as labs, hospitals, and insurance companies.

Cooperation among Medical Facilities: It is beneficial for exchanging experiences and discussing usage statistics and essential health cases.

Final Reflection

The rate of digital transformation in healthcare is accelerating. It has sparked various improved healthcare services, which have resulted in better patient care and outcomes.

Moreover, the healthcare sector needs to be more lax, given the growing demand from people for current healthcare services.

Additionally, digital transformation can change patient care while enabling healthcare organizations and professionals to spend less time on administrative activities.

In conclusion, although still in the early stages of development, digital healthcare technologies have already demonstrated their potential and effectiveness. In the following years, utilizing innovative solutions and digital technology in the healthcare sector can create a modern, more efficient, and automated health service system.

It is now possible to improve healthcare units’ performance, increase the productivity of the medical personnel, and provide cutting-edge services to the industry’s patients thanks to automated revolutions in healthcare.

Artificial Intelligence in Cybersecurity

Artificial Intelligence in Cybersecurity: AI Cyberattacks, Securing Your Ecosystem with AI, and More

Artificial Intelligence in Cybersecurity

Table of contents

On April 29th, 2021, hackers breached the networks of Colonial Pipeline Company through a virtual private network account. About a week later, the hackers sent a ransomware note that demanded cryptocurrency. What followed was a complete shutdown of the entire gas pipeline system in its 57-year history. The Colonial pipeline supplies nearly half of the East Coast’s gasoline and because of the shut down it had for several days, there was gas panic-buying, shortages, and price spikes. The attack happened due to a breach through a leaked password to an old account that had access to the virtual private network (VPN) used to remotely access the company’s servers. It was undoubtedly one of the largest cyberattacks ever on an American energy system and definitely brought to light how vulnerable the world is when it comes to cybersecurity. Businesses, governments, and individuals are taking measures to become more resilient to such attacks in the future and adopting various smart solutions as well. But guess what? Cyberattacks are getting smarter, too.

Recent AI-assisted cyberattacks

AI-assisted cyberattacks are becoming a rising security concern for everyone around the world. While cyberattacks are quite known, one may feel that AI cyberattacks are not as common. But the fact is that Artificial Intelligence cyberattacks have happened in the past and continue to happen. Hackers are leveraging machine learning algorithms and botnets and launching them across the web.

  • Taskrabbit, IKEA’s Gig-Economy Home Service Marketplace, Gets Hit By Hackers

    Social security numbers and bank account details of nearly 3.75 million people were extracted by hackers in the attack on TaskRabbit in April 2018. The hackers used an AI-powered botnet that performed a DDoS attack on TaskRabbit’s servers. The consequences? The entire site was disabled until security was restored and an additional 141 million users were affected.

  • A botnet of over 20,000 WordPress sites is attacking other WordPress sites

    Not long ago, around 20,000 WordPress sites were infected with a botnet which was feared to have granted the hackers access to critical personal information of users as well as their credit card numbers.

  • New Instagram Bug Raises Security Questions

    In 2019, many Instagram users reported that they were locked out of their accounts. Instagram didn’t release detailed information or confirm the root cause but it was speculated that hackers used AI to scan potential vulnerabilities and carry out the attack.

These are just a few of the many incidents that have taken place over the past. And there’s no stopping yet. Just in case if you believe that having the basics of security checks such as firewalls, malware scanners, and secure CMS covered will guard you against cyberattacks successfully, think again. AI-assisted cyber attacks will only get worse.

What is driving AI-powered cyber attacks?

AI-powered cyberattacks are known to “supercharge” cyber attacks. Over time, they learn what types of attacks are more successful. The notorious Emotet Trojan is a fine example of that. Once considered rare, AI attacks are increasing every day. The reason behind this increase is simple- the same reason why AI is preferred over human efforts when it comes to solving problems. AI can reach (read: attack) far more computers than humans in the same amount of time. If one is using machine language, the cyber-attacks become more unpredictable, efficient and can surpass planned security efforts as well by learning on their own. AI cyberattacks are so fast that they don’t give cyber security teams the time to respond to incidents timely and can go on with repeated attacks without getting tired, unlike humans. As for the cost involved, AI bots are less costly as they don’t need to get paid. Another key reason is that it allows hackers to remain hidden and operate remotely, keeping them safe from getting caught. All these reasons are driving the use of AI in cyber attacks.

The flip side of AI in cybersecurity and why you should implement AI in cybersecurity

According to a report by meticulous research, Artificial Intelligence in cybersecurity is expected to grow at a CAGR of 23.6% to reach $46.3 billion by 2027. Implementing AI security measures help in taking preventive measures, proactively, making cyber security efforts more effective, and reducing the time taken to respond to incidents. Artificial intelligence is already changing how cybersecurity is addressed across all major industries by providing solutions that can analyze and respond to attacks in real-time, thereby improving the overall security. Here are more reasons why you should consider implementing artificial intelligence in your cybersecurity efforts:

  • Automation: AI can learn and be proactive. It can automate repeatable tasks and eliminate the element of fatigue which may arise in security personnel
  • Up-to-date arsenal: AI is an effective tool that continually learns and updates itself. This makes it a very useful security tool in your technology arsenal
  • Deeper investigations: One of the biggest advantages of AI is that it can read both unstructured and structured data, thereby giving more information you need to reduce time to detect and time to respond to incidents
  • Thorough investigations in less time: AI allows thorough and consistent investigations through automated data mining quickly and allows analysts to focus on strategic threat investigations
  • Alert prioritization: AI enables quick discovery of false negatives and false positives which helps analysts attend to alerts effectively by focusing on the most critical ones first and also reduces the chances of missing out on critical incidents
  • Better Vulnerability Management: AI quickly identifies vulnerable points in business networks and helps businesses take preventive measures by focusing on important security tasks
  • High data center uptimes: AI has the capability to alert before there is any major software or hardware fault so that it can be taken care of before any damage is done. This ensures a high uptime of network and security systems linked with it

In one of our reports titled The Secrets to Building a $100 Million IoT Business within 5 Years, and More!, we have extensively covered how smart digital solutions can be secured against various risks. We have also highlighted potential security weaknesses and targets and how you can start securing your solutions right from the development stage. Know all about how you can adopt top-notch security measures in this free report.

Some early adopters of Artificial Intelligence in cybersecurity

We’ve been seeing how Artificial Intelligence is leveraged across various industries to overcome many challenges, what we are yet to see with the same intensity is its application in cybersecurity. A lot of leading companies have already implemented AI to secure their ecosystem from threats and vulnerabilities. While it hints at their far-sightedness, it also creates an example and a proven model for other businesses to follow without giving thoughts on how it could benefit them. Here are few examples of early adopters of AI in cybersecurity:

  • Google: We have already seen how Google puts suspicious emails in the spam folder and alerts you if it finds anything suspicious in terms of login or data access. Not so surprisingly, Google has been using machine learning to filter suspicious emails ever since it was launched. Since then, deep learning technology has allowed it to evolve and get better
  • Balbix: Balbix is an AI-powered solution that delivers continuous and real-time predictions and analysis and alerts for vulnerabilities making it easier and more effective in controlling breaches. This also makes cybersecurity teams more efficient and potent by taking care of repetitive tasks and allowing them to focus on other critical tasks
  • Darktrace: A leading AI company, Darktrace, provides cybersecurity software powered by ML to analyze network traffic information and understand the behavior of each user and device. Based on the inputs and other training datasets, their software detects even a vital deviation from normal baseline user behavior and alerts the company

Artificial Intelligence in Cybersecurity

Challenges in implementing AI in cybersecurity

Even though it is ideal to implement Artificial intelligence in cybersecurity, it can sometimes get a bit challenging to do so especially if some common constraints are not considered initially.

  • Cost considerations: In the long term, the RoI from a robust AI-powered security system will be quite high. However, deploying and maintaining AI cyber security systems might require a lot of investment, depending on the size of your organization
  • Lack of available data sets: AI cyber security models rely heavily on different data sets to evolve and be more effective. If you do not have an initial data set available, you might need to buy different types of data sets which would be an additional cost
  • AI works both ways: Just like you, hackers are also making their algorithms more advanced by using AI. that can successfully breach your AI secured systems. Chances are that their AI-driven attacks might become resistant to your security algorithms
  • Can’t be completely relied on: Even though AI increases cybersecurity a lot more than human monitoring alone, they are still advanced enough to operate independently and require some level of human intervention

Conclusion

Undoubtedly, business leaders and cybersecurity professionals are acknowledging the scope of Artificial Intelligence in cybersecurity. But as of today, the solution can’t address all the problems and threats posed by hackers. Artificial Intelligence and Machine Learning are improving cybersecurity but at the same time, they are also being leveraged by hackers to commit cybercrimes to an extent that may no longer require human intervention from their side at all. The ideal thing to do would be a mix of both AI-powered cybersecurity as well as a human intervention that can synergize the intelligence to operate not just on a technology level but a strategic level as well.

Educational Games

10 Ways in which Educational Games are Transforming Learning

Introduction:

Engagement is important when learning or exploring any new information and mastering new skills. There is where game-based learning can prove to be pivotal during a student’s learning phase. Game-Based Learning plays a crucial role helps students in learning effectively by making students collaborate, communicate, interact and work in teams during different activities.

The core concept which differentiates game-based learning or gamification from traditional learning is its focus on repetition, failure, and the accomplishment of goals. Game-based learning takes this concept and applies it to teaching a curriculum. Students work towards a goal, have the flexibility to choosing the required actions, and experiencing the consequences of those actions. They are allowed to try again in case of failure which allows students to learn at their own pace. This results in an active form of learning instead of passive learning.

Game development can help take care of important metrics that are pivotal for student engagement such as academic performance, social-emotional learning (SEL), school climate, and attendance. Thus, it is very important to maintain student engagement to ensure a more pragmatic, interactive, and active form of learning.

How Educational games are transforming learning?

The population of urban game players is increasing day by day and the implications of how gamification or game development, when combined with educational technology that can be used for learning, cannot be ignored. Game-based learning can motivate self-learning and problem-solving skills in students to a great extent.

Here are 10 ways of how educational games are transforming learning:

Boosts motivation and self-learning

Due to lack of motivation students from rural or economically lower backgrounds drop out of school every year. Game-based learning can motivate the students to complete their tasks. The concept of a reward system in traditional games can also be used effectively from an educational perspective. In game-based learning, students get to progress instantly as they learn and understand certain concepts practically and begin to implement that learning in their daily lives.

Gives you the choice of what to learn

Game-based education gives students a choice regarding what they want to learn. If the children are made to play a certain game to perform a particular activity forcefully, it will have no learning benefits. If students have the option to choose what they want to learn, they have the curiosity to ask questions and be active during learning rather than being passive and learn more effectively.

Develops non-cognitive skills

In traditional classroom settings, not much attention is paid to building non-cognitive skills like patience, motivation, self-control, and perseverance. In multiplayer games catering to students from various schools, when students are allowed to participate in the activities as a representative of that school, it helps in building their communication, social and other non-cognitive skills.

Brings out collective potential

Traditional learning processes do not focus on understanding the benefits of collective learning and intelligence. Games help in reducing the risk of communal grouping and focus on foster development, interaction, collaboration, and engagement between students of different cultures or countries, thereby promoting collective intelligence and developing social skills.

Allows students to judge their potential

Game-based learning involves a large audience, unlike traditional classrooms which can help students understand where they stand among their peers from all over the world. Learners can challenge each other on various subjects and topics, which will help them to understand their potential level as compared to other people from their country or around the world.

Highly benefits students with special learning needs

Game-based learning is adaptive to new learning techniques and technologies, so students can learn at their own pace. Students with dyslexia or ADHD (Attention Deficit Hyperactivity Disorder) whose cognition is perceived as different rather than weak can also learn at their own pace and have a more interactive form of learning due to game-based learning.

Helps in skill development and relearning 

Advanced technologies available, such as AR and VR, can train a person without having a separate skill development program through gamification. Game-based learning can be pivotal in the relearning industry. In certain scenarios, game-based learning combined with other methodologies is more effective than traditional methodologies.

Fulfills Core Psychological Needs

Gamification borrows the ideas and principles from traditional games and applies them to a non-game setting, which, when properly implemented, can help bolster the social dynamics in the classroom. Games fulfill different core psychological needs. Kids love to explore, act freely, and have a sense of challenge, social interaction, consistent feedback, and more. These components are valuable during their school experience and make learning more effective.

Makes learning more Social

Games focus on collaboration and allow a student to interact with another real-life player who is on your team and focuses on navigating situations and problem-solving solutions collaboratively and pragmatically. Brock University researchers found that “video game players, regardless of gender, reported higher levels of family closeness, activity involvement, attachment to school, and positive mental health.”

Improves Academic Performance

A game should not be too easy or too hard as it will demotivate the student to learn. A good game keeps students challenged and engaged in their zone of proximal development. Game-based learning allows for a faster and more pragmatic form of learning, which bolsters the students’ academic performances eventually by catering to a student’s cognitive and non-cognitive skills.

The Evolution of Indian Agriculture Industry: Key Policies and Reforms

Table of contents

  1. The Evolution of Indian Agriculture Industry(the 1950s- early 2000s)
  2. 2000 onwards: Economic reforms, technological advancements and disruptive transformation
  3. 2014-15
  4. 2016
  5. 2017
  6. 2018
  7. 2019
  8. 2020
  9. Union Budget 2020-21
  10. Digital Initiatives by the Indian government
  11. Conclusion

With food grain production of 69.3 million tonnes in the fiscal year 1960-61 to 264.35 tonnes in the fiscal year 2013-14, Indian agriculture has come a long way. The growing population became a key driver for agricultural products and with time, rising urban and rural incomes also gave a boost to attractive opportunities in the Indian agricultural sector. In this article, we talk about how the Indian agriculture industry transformed since the 1950s by diving into different policies and reforms, particularly over the last 5 years- where the transformation took place at an unprecedented pace and witnessed disruptive breakthroughs.

The Evolution of Indian Agriculture Industry(the 1950s- early 2000s)

The1950s: Era of stagnation in agriculture

A period marked by limited or insignificant growth, agricultural production during this period witnessed:

  • Low growth in crop and grain production (0.4 and 0.1 percent p.a.)
  • Foodgrain production of 59.2 MT in 1952–53, with a yield of 579.8 kg/ha
  • Foodgrain production of 59.2 MT in 1952–53, with a yield of 579.8 kg/ha

The 1960-1980s: Green Revolution

A good transition from stagnancy to high agriculture production, this period was characterized by:

  • Pioneering work of agricultural scientists and efforts of farmers that led to the Green Revolution
  • High Yield Variety (HYV) of seeds, increased use of fertilizers and irrigation, resulting in a significant spike in production
  • Food security and reduced import of food grains

The 1980-2000s: Surplus production and exports

During this period, India transitioned from achieving just food security to surplus production. The key highlights of this period include:

  • Expanding cereal production
  • Economic reforms introduced that provided greater encouragement to exports
  • Surplus of production of agricultural commodities over domestic demand
  • India emerged as a net exporter of agricultural products
  • Increase in population and strong income growth

2000 onwards: Economic reforms, technological advancements and disruptive transformation

2000 and beyond saw a great push to agricultural production with the introduction of supporting reforms, new policies and adoption of technology. Some key highlights from this period include:

  • Better technology adoption
  • Rise in institutional credit for agriculture
  • NFSM to increase the production of commodities
  • Schemes like National Horticulture Mission (NHM) and Bringing Green Revolution in Eastern India (BREI) that helped achieve record production.
  • The National Mission on Oilseeds & Oil Palm
  • Commodity exchanges that helped in fair pricing of commodities

The early 2000s

As mentioned earlier in this article, the last decade or so has been remarkable in terms of supporting policies and reforms, adoption of digital technologies and significant investments in the sector. In this section, we’ll take a closer look at the most striking policies and reforms that contributed to the growth of the agricultural sector in India.

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    Small Farmers Agribusiness Consortium (SFAC) [1994]

    • The consortium focused on creating wider linkages for FPOs to reduce transaction costs, improve access to technology and services and ultimately link them to better market opportunities for higher returns.
    • To meet the above objective, an ICT backed platform was provided that electronically linked all the FPOs in the country and leveraged their collective bargaining power.

    Horticulture Mission for North East And Himalayan States (HMNEH) [2001-2002]

    • The main objective of this mission was to improve the production & productivity of horticulture crops.
    • Special emphasis was laid on “Low Volume, High Value, Less Perishable Horticulture Crops”
    • Provided employment opportunities especially for women by developing horticulture farming

    Agricultural Technology Management Agency(ATMA) [2005]

    • ATMA technique facilitated the retrieval of data from internet-based web portals offline by using a simple mobile phone.
    • Over 12 services of innovative technology like USSD(Unstructured Supplementary Service Data) were operationalized for farmers and other stakeholders.

    National e-Governance Plan in Agriculture(NeGP-A) [2006]

    • The NeGP-A was introduced in the last phase of 11th plan for ensuring timely access to agriculture-related  information for the farmers through the use of ICT
    • The services include information on pesticides, fertilizers & seeds, soil health, crops, farm machinery, good agricultural practices, weather advisors, prices, arrivals, procurement points, irrigation, fishery inputs, infrastructure, drought relief, and more

    National Food Security Mission (NFSM) [2007]

    • The National Food Security Mission was launched in FY08 with an outlay of USD1.2 billion during the 11th five-year plan. It aimed at increasing the production of rice, wheat and pulses by 10 million tonnes, 8 million tonnes and 2 million tonnes by FY12

    Rashtriya Krishi Vikas Yojana (RKVY) [2007]

    • Rashtriya Krishi Vikas Yojana (RKVY) was launched in FY08 with an outlay of USD5.3

    billion during the 11th five-year plan. It aimed at incentivizing states to increase outlays for agriculture and allied activities, thereby encouraging growth opportunities in the agriculture sector

    2014-15

    National Crop Insurance Programme (NCIP) [2013-14]

    • Modified National Insurance Scheme aimed at ensuring food security, crop diversification and enhancing the growth of the sector
    • Weather-based crop insurance was introduced that aimed to minimize the financial loss of the insured farmers on account of anticipated crop loss resulting from unfavorable weather conditions
    • Coconut Palm Insurance Scheme aimed at minimizing the risks faced by the coconut cultivating farmers

    Pradhan Mantri Krishi Sinchai Yojana [2015]

    • Allocation of USD830 million for the development of micro-irrigation, watershed and Pradhan Mantri Krishi Sinchai Yojana
    • State government are compelled to fund the agriculture sector, take appropriate measures to achieve the targeted growth rate and address issues of farmers

    Paramparagat Krishi Vikas Yojana (PKVY) [2015]

    • This scheme ensures the promotion of organic farming
    • Adoption of farming will promote the balanced use of chemical fertilizers and enhance the quality of farm produce

    Other policies:

    Foreign Direct Investment (FDI)

    • 100 percent Foreign Direct Investment (FDI) was allowed under automatic route in storage and warehousing

    2016

    Pradhan Mantri Fasal Bima Yojana (PMFBY) [2016]

    • The existing National Agricultural Insurance Scheme (NAIS) and the Modified National Agricultural Insurance Scheme (MNAIS) were replaced by PMFBY, from April 1, 2016.
    • In 2016, the central government launched a crop insurance policy, Pradhan Mantri Fasal Bima Yojana, for providing financial support to farmers and covering their crop losses. The premium was payable on the principal amount to the farmers.

    eNAM [2016]

    • National Agriculture Market (eNAM), a pan-India electronic trading portal networks the existing APMC mandis to create a unified national market for agricultural commodities. It aims to promote uniformity in agriculture marketing by streamlining of procedures across the integrated markets, removing information asymmetry between buyers and sellers and promoting real-time price discovery based on actual demand and supply

    Regional Rural Bank Credit Refinance Fund 

    • The government announced the set up of a Regional Rural Bank Credit Refinance Fund with a capital of USD2.1 billion to enhance the capacity of RRBs to disburse short term crop loans to small and marginal farmers

    Pilot Unified Package Insurance Scheme

    • The scheme aimed to cover all the insurance needs of farmers including crop and tractor insurance

    Agricultural center for excellence 

    • The government announced plans to establish centers of excellence in agriculture in Assam and Jharkhand, agriculture universities in Andhra Pradesh and Rajasthan, and horticulture universities in Telangana and Haryana

    2017

    APMC farmers go cashless

    In January 2017, Indore Agricultural Produce Market Committee (APMC) adopted a cashless payment policy and farmers started accepting alternative modes of payments such as cheques and RTGS.

    Contract Farming Law

    In February 2017, as an effort to protect the farmers against price volatility, Niti Aayog came up with a law on contract farming to protect the farmer’s interest.  The NITI Aayog observed that market fees and other levies are paid to the APMC for contract framing when no services such as market facilities and infrastructure are rendered by them. In this context, the Committee of State Ministers on Agricultural Reforms recommended that contract farming should be out of the ambit of APMCs.  Instead, an independent regulatory authority must be brought in to disengage contract farming stakeholders from the existing APMCs.

    As per the draft Model Act, contract farming will be outside the ambit of the state APMCs.  This implies that buyers need not pay market fee and commission charges to these APMCs to undertake contract farming.

    Tax incentives and other sops

    • The import duty was scrapped on capital goods and raw materials for 100 percent export-oriented units.
    • Full excise duty exemption was provided for goods that are used in the installation of cold storage facilities.
    • Services like pre-conditioning, ripening, waxing, retail packing, precooling, labeling of fruits and vegetables were exempted from service tax.

    2018

    Agriculture Export Policy, 2018

    • The Agriculture Export Policy was framed with a focus on agriculture export-oriented production, export promotion, better farmer realization, and synchronization within policies and programs of the Government of India. It lifted all restrictions on organic and processed food, to help the government’s efforts to double farmers’ income by 2022.

    Pradhan Mantri Annadata Aay SanraksHan Abhiyan (PM-AASHA) 

    • In September 2018, the Government of India announced a Rs 15,053 crore procurement policy, under which states can decide the compensation scheme and can also partner with private agencies to ensure fair prices for farmers in the country

    National Mission on Food Processing 

    • Ministry of Food Processing Industries launched a new Centrally Sponsored Scheme (CSS) to promote facilities for post-harvest operations, including setting up of food processing industries in India

    2019

    Pradhan Mantri Kisan Maan-Dhan Yojana (PMKMY)

    • A minimum fixed pension of Rs 3000 to be provided to eligible small and marginal farmers on attaining the age of 60 years
    • The beneficiary is required to make a monthly contribution between Rs 55 to Rs 200 to the Pension Fund depending on the age of entry into the scheme
    • The scheme aims to cover around 3 crore beneficiaries. As of 14th November 2019, 2 million farmers in the country were registered under the scheme.
    • A budgetary provision of Rs 900 crore was made for the year 2019-20

    Pradhan Mantri Kisan Samman Nidhi Yojana (PMKisan)

    • Prime Minister of India launched the Pradhan Mantri Kisan Samman Nidhi Yojana (PM-Kisan) and transferred Rs 2,021 crore to bank accounts of more than 10 million beneficiaries on February 24, 2019.
    • Eligible farmers received Rs 6,000 in three installments

    Pradhan Mantri Kisan Urja Suraksha evem Utthan Mahabhiyan (PM KUSUM)

    • Ministry of New and Renewable Energy (MNRE) launched the Pradhan Mantri Kisan Urja Suraksha evem Utthan Mahabhiyan (PM KUSUM) Scheme for farmers for the installation of solar pumps and grid-connected solar and other renewable power plants in the country.
    • The scheme aims to add solar and another renewable capacity of 25,750 MW by 2022

    2020

    2020 saw reforms in agricultural policies and financial boost through government investments, primarily driven by the motive to reduce the adversity caused by COVID19.

    Amendment of the Essential Commodities Act (ECA) & Agricultural Produce Market Committee Act

    In June 2020, India’s Union Cabinet made amendments to the Essential Commodities Act (ECA) which will help farmers get better prices for their produce and more discretion over who and where to sell. The proposed changes will allow Indian farmers to sell their products to anyone outside the Agricultural Product Market Committee (APMC) mandis. Also, the prices of essential agricultural produce will now be controlled by market forces, thereby liberalizing the farm economy – a move that is expected to give a major boost to the agriculture sector.

    Key Highlights

    • Deregularization of agricultural commodities like cereals, pulses, oilseeds, onions and potatoes.
    • Unless it is a case of emergency, under the amended regulations, there will be no requirement of storing certain stock of these commodities.
    • Amendments to ECA will allow farmers to engage in inter-state trade, which was not allowed earlier.
    • Changes will encourage creating a legal framework for allowing contract farming to boost the incomes of producers.
    • Reforms will liberalize Indian agriculture, encourage free markets and reduce government intervention.
    • The ordinance will allow farmers to engage with processors, aggregators, large retailers, exporters passed.

    Expansion of federal eCommerce platform e-NAM app

    The electronic-National Agriculture Market (e-NAM) platforms will witness another round of expansion. The digital agriculture market that enhances the scope of inter-state trade will add 415 more ‘mandis’ to the e-NAM platforms. This will take the list of electronically connected wholesale markets in the country to 1,000 this year. The trade on its portal has already reached Rs 91,000 crore. Using this portal, the farmers can access all information on the e-NAM platform easily through their mobile phones from anywhere. This trading platform intends to reduce transaction costs, bridging information asymmetry and helps in expanding the market access for farmers so that they can get better prices of their produce.

    As per eNAM data of June 2020, about 585 APMC markets in 16 states and 2 Union Territories (UTs) have been integrated into the e-NAM platform. More than 1.65 crore farmers and 1.27 lakh traders have been registered at the portal, launched in April 2016.

    Investment of Rs 1 lakh crore for strengthening agriculture infrastructure

    From the Rs 20 lakh crore economic package that was announced by Indian Prime Minister to combat the impact of coronavirus, Rs 1 lakh crore will be allocated to the agriculture sector and its allied activities. The fund will be used on the creation of agricultural infrastructure like cold storage chains, post-harvest management, warehouses.

    Key highlights

    • Rs 10,000 crore fund will focus on the micro-sized food enterprises to increase the production, marketing, and branding of those agricultural outputs which are specific to a certain region
    • Rs 15,000 crore will be used to support dairy infrastructure in the country which will help the private segment of this industry, creating plants and exporting niche products.
    • Rs 4,000 crore will be used to promote herbal plants focused agriculture which is expected to generate Rs 5,000 crore of income for the farmers
    • Rs 500 crore will be used towards beekeeping.

    Union Budget 2020-21

    • The Budget 2020-21 has identified the agriculture sector as one of the key drivers of the economy.  As per Union Budget 2020-21, the Government will work with state Governments to allow farmers to benefit from e-NAM.
    • The Government announced plans to launch Krishi Udaan on international and national routes.  Fish production is expected to increase to 200 lakh tonnes by 2022-23.
    • PM-KUSUM scheme has expanded to support 20 lakh farmers for setting up stand-alone solar pumps and will help another 15 lakh farmers to set up their grid-connected solar pumps.
    • Viability gap funding will be provided under Union Budget 2020-21 for setting up warehouses.  The coverage of artificial insemination will be increased to 70 %from 30 % at present.
    • Rs 1.34 lakh crore allocated to the Ministry of Agriculture and Farmers’ Welfare.
    • Rs 8,363 crore allocated to the Department of Agricultural Research and Education.

    Digital Initiatives by the Indian government

    With the objective of providing government services to farmers in rural and urban areas electronically, many digital initiatives have been launched by the government of India. These include:

    • E-sagu: One of the latest digital initiatives, it provides expert suggestions to the farmers. By leveraging the internet and audio-visual communication, insights from experts are provided to the farmers regularly on the various techniques to increase farm productivity
    • Community Radio (CR): Community Radio fulfills the information needs of the farmers using radio station facilities by providing latest information on weather, farming practices and more
    • Digital Green: The initiative disseminates agricultural information using online videos
    • National Agriculture Market (e-nam): It provides an e-marketing platform at the national level and supports the creation of infrastructure to enable e-marketing. The platform also ensures better price discovery, brings in transparency and empowers farmers to get fair remuneration for their produce
    • The Kisan Call Centre (KCC): initiative provides information to farmers through a toll-free telephone helpline. Under this project, call center facilities have been extended to the farmers by establishing call centers in different states so that farmers can get the information in their native language

    Conclusion

    India has seen robust demand for agricultural products over the last few years and it continues to grow with the increasing population. Other than growing population, the rising urban and rural incomes, changing lifestyle and increasing expenditure on health and nutritional foods have also added to the growth in demand for agricultural products. The increasing demand has created a way for attractive opportunities, primarily in the areas of agricultural inputs such as hybrid seeds and fertilizers, storage facilities and overall food infrastructure and supply chain. Lured by the size and returns of the Indian agriculture market, foreign firms have also strengthened their presence in India and the government is ensuring that the resistance to growth opportunities is minimized by supporting policies such as the rationalization of tariffs and duties related to the food processing sector, providing a boost to the agri-inputs market, introducing farmer welfare schemes and a lot more. In the pursuit to scale up agricultural production and achieve the objective of doubling farmer income by 2022, the government has started to leverage digital agriculture services and technologies. The digitization in agriculture is catching up fast. From platforms like eNAM to projects like Agri Udaan, the commitment to the use of technologies in agriculture is strong and clear. It is now important for investors and stakeholders to utilize this opportunity and ride the tide of long-overdue digital transformation in the agriculture sector.