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.

Survey Results: Top Things Users Want to See in Mobile Apps

51% of the people living in the US haven’t downloaded an app in a month. With more apps crowding the app space, customers have reached a state where they don’t want to download new apps. We recently conducted a survey to understand what, according to mobile app users, defines a user-centric and successful app. We hope that the results help our readers understand mobile experience from a user’s perspective and enable them to improve their mobile app strategy.

Check out our detailed infographic for all the answers and understand how you can fortify the very crux of your mobile app strategy.

Transforming CX

Transforming CX: Understanding Omnichannel Strategy and Getting It Right

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Introduction

Omnichannel has become an inevitable buzzword in every discussion centered around customer experience. And rightly so. The fact that most companies lag behind in their CX transformation only fuels the adoption of better engagement and experience strategies that’s where omnichannel experience comes into the picture, amidst more strategies, of course. But in the pursuit of excelling at it, businesses often get it wrong. Where exactly? To begin with, by assuming that omnichannel strategy is all about having multiple customer touchpoints with consistent branding elements.

What exactly is an omnichannel strategy?

Integration, not just consistency. An omnichannel strategy is a cross-channel strategy that gives a continuous and integrated experience to users across multiple channels. Simply put, if a user leaves off from one channel and switches to another, he should be able to pick up right from where he left off.

Most enterprises treat omnichannel the same as a multichannel strategy. It is important to understand the key differences between them before strategizing to get either or both of them right. Omnichannel businesses streamline all customer touchpoints under a single platform. That means from planning and purchasing to marketing and managing customer relationships, all your online and offline channels get updated together and are on the same page. Whereas, in a multichannel approach, each channel is managed individually with a unique strategy of its own.

Another interesting thing to note here is that omnichannel marketing is different from omnichannel customer experience. Omnichannel marketing is about consistency in messaging and branding is consistent across channels. The strategy side of it addresses the customers includes merging different channels together and offering seamless and uninterrupted experiences.

Why is an omnichannel customer strategy important?

Did you know? Your customers aren’t just open to embracing the omnichannel experiences by thinking of them as an additional value. They expect it as a necessity. Here are a few of innumerable reasons why an omnichannel strategy is important for every business:

  • Delighted and engaged customers

    From a customer journey point of view, an omnichannel experience helps them interact with your brand smoothly, without the need for retaining or repeating information about the experience at the last touchpoint. This makes their interaction with your business smooth and intuitive.

  • Resource optimization

    The number of times you need to interact with your customers through a dedicated resource comes down. Simply because you’ve already made their experience hassle-free. This significantly reduces the time and cost you would have incurred otherwise.

  • Friction-free customer journey

    An omnichannel strategy helps you identify the various customer journey touchpoints clearly and understand what are the major points of friction that may cause customers to drop off. You can understand where they are able to navigate easily, where they face difficulty and how you can improve by tracking various touchpoints and using the insights to improve their journey.

  • Brand reputation

    Your omnichannel strategy can serve as a long-term investment in building brand value. Happy customers are more likely to develop brand loyalty and recommend your brand to others as well. A better, stronger brand also means repeated purchase and competitive advantage- bringing you immediate monetary returns, too.

  • Unprecedented CX

    Omnichannel strategy contributes to your overall CX. It helps keep your customers engaged and happy. At the same time, it benefits your internal operations too as it empowers your employees to work within a system that’s intelligent, flexible and effective, thereby saving them time and efforts in dealing with mundane queries and tasks.

How can you get your omnichannel strategy right?

We talked about omnichannel strategy and how it can benefit your business. The question that remains now is HOW to get it right. While there’s no definite single strategy that works for all businesses, we have listed the top and most common steps that apply to all businesses.

  • Conduct thorough research on buyer personas: If your omnichannel strategy isn’t based on customer insights, it’s likely to take a hit sooner or later. It is important to understand your customer persona- their demographics, behaviors, and more. This will help you identify different segments and target your audience well. You can not only improve your value proposition with the needs of your customers but also go for more targeted offerings and ultimately, accelerated conversions.
  • Improve customer touchpoints: It is important to understand customer sentiments at each stage of their buying journey. Once you get insights into how your customers are feeling at each touchpoint across different channels, you will be in a better position to offer better experiences by improving the preferred touchpoints and eliminating the points of friction.
  • Map your customer’s journey: Even if it gets complex due to multiple channels involved, plot your customer journey map. Identify their first point of interaction with your brand and map the consecutive interactions and overall engagement up to final sales and beyond. You can leverage analytics tools to understand customer interactions better and bridge the gap between channels for a unified omnichannel experience.
  • Choose the right tools for each channel: Augment your channel capabilities by using the right technology stack. Place chatbot where you receive routine queries, implement live chat support where you receive sales inquiries, provide smart engagement tools to guide customers where they are more likely to get stuck, etc.
  • Collect customer feedback: Collect customer feedback and use it to develop an in-depth understanding of their preferences and behavior. Analyze it regularly to resolve friction and solve your customer’s specific challenges.

Customer experience strategy isn’t built overnight- it develops from consistent efforts and multi-faceted strategic aspects

A successful customer experience strategy isn’t a one-time thing. Nor is it something that can be built in one shot. It’s made from multiple aspects, each influencing your customer’s experience in a different way. An omnichannel strategy is one of them. You need to continuously evaluate your strategy, considering the dynamically changing customer preferences and ensure that your CX strategy is attuned to deliver the best experience. We have worked with clients all over the world and helped them improve customer retention, obtain faster conversions, lower the cost of customer acquisition, enhance brand perception and much more by simply working on their CX strategy. If you’re looking for help with anything CX, get in touch.

DALL.E and CLIP: How Open AI’s New Models are Defining the Future of AI Yet Again

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It wasn’t long ago when Open AI achieved a breakthrough in AI by announcing the launch of GPT-3, a general-purpose language algorithm that uses machine learning to translate text, answer questions and predictively write text. It created quite a buzz for being the largest model trained so far and for reaching the highest stage of human-like intelligence through ML and NLP. Fasttrack six months and we learn that OpenAI extended GPT-3 with two new models that combine NLP with image recognition to give their AI a better understanding of everyday concepts.

Open AI’s new models- DALL.E and CLIP

We’ve already seen in the case of GPT-3 that a single deep-learning model could be trained to use language in a variety of ways simply by feeding it vast amounts of text, This was followed by swapping text for pixels, and using the same approach to train an AI to complete half-finished images. OpenAI has now put these ideas together to create two new models, called DALL·E and CLIP. These models combine language and images in a way that will make AIs better at understanding both words and what they refer to.

DALL.E: Creating Images from Text

DALL.E is Open AI’s trained neural network that creates images from text captions for a wide range of concepts expressible in natural language. It is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions, using a dataset of text-image pairs. It has a diverse set of capabilities, including creating anthropomorphized versions of animals and objects, combining unrelated concepts in probable ways, rendering text, and applying transformations to existing images.

Simply put, it is a neural network that instead of recognizing images, draws them based on the text description. You can provide a short natural-language caption, such as “illustration of a baby daikon radish in a tutu walking a dog” or “ an armchair in the shape of an avocado,” and DALL·E generates lots of images that match it.

Text prompt: an illustration of a baby daikon radish in a tutu walking a dog

Output:

Source: Open AI

Text prompt: an armchair in the shape of an avocado

Output: 

Source: Open AI

DALL.E’s limitations

While the ability of DALL.E to generate synthetic images out of whimsical ideas seems promising for AI advancement, it comes with its own limitations. For example, Including too many objects in a text prompt puts its ability to keep track of what to draw, to test. Additionally, rephrasing a text prompt sometimes yields different results. There also have been signals that DALL·E is imitating images it has encountered online rather than generating original ones.

CLIP: Connecting Text and Images

CLIP, or Contrastive Language–Image Pre-training, is a neural network that efficiently learns visual concepts from natural language supervision. It can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and 3.

One may think that CLIP is just another image recognition system but there’s an exception to it. It recognizes images not from labeled examples in training data sets but from images and their captions taken from the internet. It learns about the image from a description instead of one-word labels.

CLIP’s performance was tested on ImageNet and it was found that CLIP’s performance is much more representative of how it will fare on datasets that measure accuracy in non-ImageNet settings.

Source: Open AI

CLIP’s limitations

CLIP was found to struggle with more abstract or systematic tasks such as counting the number of objects in an image. It failed to complete complex tasks such as predicting how close the nearest car is in a photo as well. Quite naturally, CLIP also poorly generalizes images that were not covered in its pre-training dataset.

Conclusion

Despite the limitations, this is yet another groundbreaking innovation by Open AI. The OpenAI team plans to analyze how these models correlate issues like economic impact on certain professions, the potential of bias in the model outputs, as well as the long-term ethical challenges posed by this technology. With this, we have more insights into the kind of AI systems we’re likely to see in the future. At [x]cube LABS, we help our clients create breakthrough results, drive operational growth, and achieve efficiency with advanced artificial intelligence and machine learning services. If you’re looking to explore opportunities with AI for your business, feel free to get in touch with us.

Technologies role in shaping the future

Top 10 Trending Technologies of 2020 and their Role in Shaping the Future

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Introduction

We see innovations in the field of IT software every now and then but there are few technologies that we saw in 2020 that have a greater potential to transform human experience the way humans interact with devices through digitization. 

Let’s discuss some top trends from 2020:

  • Hyper Automation

Robotic process automation is the beginning of hyper automation but when it uses advanced applications like artificial intelligence (AI), machine learning (ML), packaged softwares and highly automated tools to deliver tasks. Hyper Automation extends across a range of tools that can be automated, but also refers to the sophistication of the automation (i.e., discover, analyze, design, automate, measure, monitor, reassess.)”

  1. Augmented Reality and Virtual Reality

    Garter research says “by 2028, the user experience will undergo a significant shift in how users perceive the digital world and how they interact with it.” 

    Augmented Reality is when a live view is added by the device’s camera and Virtual Reality is when a virtual simulation is created which shuts the real world. Combination of AR and VR is called mixed reality. These techno innovations are  changing human experience and will bring a significant change in the way humans interact with the digital world.

    It’s being used in gaming, field of medicine discovery, hospitals, manufacturing etc

  2. Democratization of Expertise

    It is defined as “easy access to technical or business expertise without long and expensive learning”. Democratization focuses on four key areas- democratization of data and analytics, development, design and knowledge.

    By 2023 their growth is expected to accelerate, it’s called “Citizen access” (for example, citizen data scientists, citizen integrators), as well as the evolution of citizen development and no-code models, are examples of democratization says Gartner.

  3. Human Augmentation 

    Human augmentation is used to deliver cognitive and physical experience which are part of human existence. Another word for it is “wearables.” We have seen it being used in health gadgets, hospitals, mechanical devices. Some latest implementations- exoskeletons, motion savvy, google glass, Neuralink by elon musk etc.

  4. The Empowered Edge

    In the IT field it’s used to describe empowering computing centralization that is distributed toward the edge of a network, the end user and the end user device.

    Gartner describes it in simple words “Edge computing is a computing topology in which information processing and content collection and delivery are placed closer to the sources, repositories and consumers of this information.”

    It is also known as device democracy- it helps to achieve security, low latency rate and efficiency. 

  5. Distributed Cloud

    A distributed cloud is a type of cloud services where its public cloud services are geographically distributed and primarily services run at network edge.

    Basic cloud services have centralised data centers.

    Distributed cloud technology can help reduce latency, network congestion, and risk of data loss, more data security and data regulatory & compliances can be strictly followed since all the data can be kept in a country where it is generated.

    Gartner predicts a few different business models will arise as this form of cloud spreads in adoption. The business models are somewhat similar to the software-, infrastructure-, and platform-as-a-service models that are currently popular. 

  6. Artificial Intelligence

    The aim of AI is to mimic humans like intelligence. Artificial intelligence is categorized into machine learning, deep learning, reinforcement learning, natural language processing, computer vision and explainable AI. The technology is designed to equipe computer systems to perform tasks like speech recognition, planning and learning, problem solving & creativity, knowledge representation, perception and motion and social intelligence. By 2030 AI is expected to create 70M jobs across the globe.

  7. Internet of Things

    Internet of Things, a network of devices connected to each other via the internet, these devices can interact and share information. IoT not only enables devices to communicate but also allows their remote accessibility. 

    IoT is being used in wearable devices, smart homes, smart cities, self driven cars, healthcare as IoMT etc. 

    One of the new emerging technologies is Autonomous Things, it’s again a part of the IoT tree, as per gartner’s report “Autonomous things are physical devices that use AI to automate functions previously performed by humans. The most recognizable forms of autonomous things are robots, drones, autonomous vehicles/ships and appliances.”

  8.  Blockchain

    Blockchain is an electronic ledger or a distributed decentralized network that provides immutability, privacy, security, and transparency. Blockchain works on consensus mechanisms where all the transactions are secured and verified, every new block that is added to the Blockchain is the one and only version of the truth that is agreed upon by all the nodes in the Blockchain.

    This keeps a time stamped record of each transaction, each linked to the previous block which can not be changed.

  9. AI Security

    If we go by the report and market norms there is a greater opportunity for technologies like AI/ML, IoT, hyper automation, this involves a lot of data storage and data sharing. Now there is a major cyber security threat for risk management teams and regulation authorities, the risk includes in areas such as IoT enabled devices, cloud computing, microservices and highly connected systems in smart spaces. There will be a huge pool of opportunities for AI Security where AI will be leveraged to secure. Gartner researchers say “Security and risk leaders should focus on three key areas — protecting AI-powered systems, leveraging AI to enhance security defense, and anticipating nefarious use of AI by attackers.”

Future Of These Technologies

Technology Future Scope
  • Hyper Automation
Hyper automation is a future of Automation. It will bring technological revolution through the combination of technologies like Robotic Process Automation, Intelligent Business Process Management Suites (iBPMS), Process Mining, ArtificiaL Intelligence/ Machine Learning, Natural Language Processing (NLP), Optical Character Recognition (OCR) and Digital Twin of an Organization (DTO).
  • Augmented Reality and Virtual Reality
Great potential in fields like healthcare, gaming, pharmaceuticals,manufacturing etc.

Virtual simulations help doctors, researchers and scientists to replicate actual human behavior to certain things, for example replication patient experience while suffering from certain diseases.

  • Democratization of Expertise
There will be a lot noise for finding experts of digitally disrupted technologies. By 2023, Gartner expects four key aspects of the democratization trend to accelerate in areas of: 

  • Data and analytics-tools targeting data scientists
  • Development- AI tool to leverage custom developed apps
  • Design (expanding on the low-code, no-code phenomena with automation of additional application development functions to empower the citizen-developer)
  • knowledge (non-IT professionals gaining access to tools and expert systems that empower them to exploit and apply specialized skills beyond their own expertise and training)
  • Human Augmentation 
In the coming years as the innovations progress humans will become habitual to wearables in order to self care and in patient care.

Gartner’s report predicts Over the next 10 years increasing levels of physical and cognitive human augmentation will become prevalent as individuals seek personal enhancements. This will create a new “consumerization” effect where employees seek to exploit their personal enhancements — and even extend them to improve their office environment.”

  • The Empowered Edge
There are potential opportunities in cloud computing, IoT security, efficient operation, electronic systems and services
  • Distributed Cloud
Location is the most important part when it comes to hosting cloud services, since it involves massive amounts of data and every country has different data privacy regulations.

Mostly available cloud services are providing hybrid cloud with again centralised data centres and investing more in location specific data centres instead of centralised in order to increase data security and reduce data loss.

  • Artificial Intelligence
By 20222 business value created by AI will reach $3.9T.

AI will open more doors for areas like early disease detection in healthcare, drug research, financial industry, manufacturing, customer care services, autonomous cars etc

  • Internet of Things
IoT has limitless potential in all the fields.

Some of them are Smart cities, offices, homes, devices, autonomous things like vehicles, drones, robots etc.

Advancement will be brought in IoT technology through increased network agility, integrated AI/ML applications and the capacity to deploy, automate, orchestrate.

  • Blockchain
Businesses have begun exploring blockchain technology as it provides a range of consensus algorithms to secure transactions. It eliminates chances of data theft and manipulations. There is a huge potential in all fields where transaction will be secured with blockchain implementations
  • AI Security
As use cases and application development increases the need of data security increases with time. Organization will try to secure smart spaces & devices with AI powered security systems

Want to know more about how these technology advancements can help your enterprise get ahead? Get in touch with us and we’d love to talk about it.

Tech News Websites

Top 10 Tech News Websites That You Need to Follow in 2021

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Introduction

The technological advancements in the market is bringing every eye on the planet on these new innovations. People are becoming more aware of the revolution that new technologies and digitization is creating. It’s more of a need rather than just a normal interest in the latest technology. Whether it be a person who is thinking about a startup or a normal business investor who is looking for an alternate income through trading, everyone has to be aware of what the market looks like with these new technologies.

This Pandemic also has taught human civilization about the importance of technology from a very small operation stage to a very complex operation stage. And with the transformation of technology in every quarter, every year it has become a necessity to check the latest news on these changes.

Social Media platforms like Instagram, Facebook have also been a prime spot to have a look at the latest trends as these platforms didn’t exist 10 years back but are now an important part of our lives. As per a report by Galido.net, 77% of the internet users read blogs on a random basis. With these blogs on digital marketing tactics to follow and many other applications of new technologies in various industries can help users understand the future of technology.

Top 10 list

Here are some top blog platforms to follow to stay updated on the latest innovation:

  1. Wired

    This tech blog was founded in 1993 by founders Louis Rossetto & Jane Metcalfe who mainly concentrated on how these new emerging technologies have been affecting the culture, the economy and politics. It regularly provides in-depth information on future and current trends.

  2. TechCrunch

    The American website was founded in 2005 by Michael Arrington which was later sold to AOL in a deal of $25 Million. It is one of the top ranked sites over the years in covering tech areas. Their articles have weekly investor surveys, daily private market analysis, interviews on fundraising and growth, and tips on building your team with the current market scenario.

  3. Recode

    The platform which was founded by Kara Swisher in 2014 and now owned by VOX Media particularly focuses on businesses of Silicon Valley. The blogs and articles from this media are kept with consideration from some top journalists and media personalities in the market. This platform will let you know of the future of the tech and how it’s evolving.

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  4. Mashable

    Founded by Pete Cashmoreg in 2005, this platform is known for its global platform for entertainment and multimedia platforms. It is a site for entertainment and digital content for its influential global audience. It tells the viewers about the tech trends in Movie, Entertainment and other industries.

  5. CNet

    The website which was founded by Halsey Minor & Shelby Bonnie in the year 1994 tracks all changes in consumer technology. It tells its viewers on how life can be simplified with these new technologies. It also provides information about the devices and technologies to buy.

  6. The Verge

    It was founded by Joshua Topolsky, Jim Bankoff & Marty Moe in 2011 to concentrate more on how technology can change the life of normal people and what’s the future that can be expected out of it. The site is also owned by VOX Media which uploads guidebooks, podcasts and feature stories. They offer a personalized perspective per their viewer’s choice.

  7. Gizmodo

    The website which was founded by Pete Rojas in 2001, offers tutorials on new gadgets and tech to make their viewers more informed and aware. It is a part of Gawker Media Network which provides views on design, technology, politics and science.

  8. Engadget

    Another wonder by Pete Rojas that was founded in 2004,  started its journey as a news organization. The platform contains views on films, gaming etc. They also concentrate on hardware, NASA tech and new tech gadgets to keep their users more informed.

  9. GigaOm

    The site has a user base of over 6.5 Million visitors every month and was founded by Om Malik in 2006. This platform concentrates on how technology and latest innovation are reshaping the 21st century. It has a wide view on IoT, cloud services etc.

  10. Pando

    The platform which was founded by Sarah Lacy, offers news & commentary on latest technologies. Its main concentration is on the Silicon Valley companies and startup firms.

  11. Conclusion

    It is becoming quite challenging to stay updated and find the right content with this every day change in technologies. With blogs that do their research correct and are evenly involved with these technologies, it can save a lot of time and money for users. The above list of the blogs has it all, from new emerging technologies to old transformations. However, the list doesn’t  end here as new websites with new ways of approaching readers are coming up on a regular basis. Watch this space for more on the emerging titles.