Language Models: Emerging Types and Why They Matter

Abhinav Anand | July 7, 2022 | 129 views | Read Time : 2 min

Language Models: Emerging Types and Why They Matter
Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities.

Large Language Models

Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text.

Fine-tuned Language Models

Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning.

Edge Language Models

Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline.

As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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8 Epic App Innovations that Help Your Business Stand Out

Article | June 7, 2022

Increased use of the internet and smartphones demands better mobile applications be developed. Innovation is the key driving force that can make or break the market regarding mobile app development. A fantastic team of mobile app developers and smart innovation employing the latest technology produce a huge hit app. Let us learn more about how the mobile app development market grows. The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. Discover the top innovations in mobile app development. Innovations in Mobile Application Development Some of the technological breakthroughs in mobile app development will greatly improve the user experience in the future. These focus mainly on the implementation of the latest technological innovations to realize functionality that has never been seen or done before. Let us now delve into their specifics. In-App Paid Features: Android and iOS Development While Android has a market share of 70%, iOS has grabbed a market share of around 28% in the mobile operating systems market as of 2022. In-app advertising and in-app purchases generate the major ROI from mobile applications on both mobile operating platforms. A great UI and UX go a long way toward boosting your app and business, and they also help you rank highly in the respective app markets, i.e., the Google Play Store and the App Store. Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. Augmented and virtual reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. You can do this by making constant improvements to your minimum viable product. Beacon Technology The beacon technology uses a smartphone's Bluetooth to identify any store, museum, or other business in the vicinity. As mobile devices get more powerful, IoT and edge sensors will be used more and more. Because of that, beacon technology will change the way we interact with the world. This technology sends notifications to your customer’s phone about your product when the customer passes by, sends content and descriptions about an ongoing event at your location to your customers, and more. Proximity marketing and indoor navigation notifications are the few ways retail is using this technology. With the help of beacon technology, your business can track assets, keep track of contacts, offer access to loyalty programs, gather advanced data, and send mobile tickets. Al and ML The versatility and power of innovations in Al and ML keep them relevant. For example, they let you turn pictures into animations that look real. These animations provide real-time analytics and other valuable insights. As an AI learns from its own experience, providing a better customer experience based on the data you feed it helps create intelligent chatbots. Personalized shopping assistance, fraud prevention, task automation, smart content, voice assistants, and autonomous vehicles are a few of the examples where you will see AI implemented. An AI trains itself through machine learning, or ML. ML forecasts future data trends using available historical data. This invaluable addition to your existing apps transforms the way they interact with customers. We are one step closer to a super-personalized experience. Wearables Wearables let you make calls, find your way to your destination, measure and analyze your vital signs in real time, and look at your own personal insights. So, app developers and businesspeople should focus on making apps that give people who use wearables a great digital experience. Getting better apps for wearable devices can greatly enhance their functionality and the user experience. From listening to your favorite music to tracking your fitness goals, taking notes, finding a parking spot, and adhering to your health and fitness regimen, a wearable device does it all. If developing your company’s wearable app delivers more value, this technology is not just a game changer but a lifesaver for many. Predictive analytics Predictive analytics is essential to e-commerce. When it comes to making mobile apps, predictive analysis can help improve both the process and the user experience. By putting together information from many developers, it can help predict problems and suggest solutions. Your predictive analytics will be better if you use artificial intelligence (AI), data mining, machine learning, modeling, and statistics. The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. Blockchain is more secure and reliable, offers better transparency in financial transactions, makes you go password-free using an SSL certificate (Secure Sockets Layer), promotes simplicity, protects your identity, safeguards access to your digital data and information, and helps transmit and receive accurate data with the help of balanced data transfer using several nodes at once. On-Demand Applications As lockdowns and quarantines went on for a long time, many delivery apps started to appear. There were apps for taxis, grocery stores, and even medicine delivery. The on-demand model is likely to grow as more service-based companies shift their focus towards on-demand apps. Technology is always changing, and every year, new versions of technology hit the market. That's why we need to keep up with the latest updates and use them to make applications that are both new and full of features. That's a must for a successful launch of a mobile app. Making the development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. Some quick and effective mobile app development platforms include Quixey, Zoho Creator, AppyPie, AppSheet, Bizness Apps, Appery.io, iBuldApp, Shoutem, Rollbar, JIRA, AppInstitute, GoodBarber, Caspio, and more. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. Mobile app development innovations help in many ways, such as: Improve your brand's relationship with your customers. Offer 24/7 access to your business, Get excellent customer insights, Efficiently market your product online, Save on additional marketing costs, Boost employee efficiency by increasing engagement. Improve communication, shreds down the busy work and Streamline the data. Generate a new revenue stream from ads targeted at in-app purchases. As a result, you meet customer expectations efficiently, allowing you to expand your business and attract potential customers. Your customers and potential customers are always looking for something new and exciting to experience and adopt. Sooner or later, they make habits of seeing something, and then they start thinking of that mobile app as a standard benchmark to look up to. Talking about the scalability of a mobile application, there is a lot of scope to improve using innovative technologies, and all minor to major updates take you from where you are to where you want to be. Finding the right mix of technologies will help your business grow and expand. Tying everything together Business growth for small-scale businesses starts with new inputs and strategic technological investments in mobile app development. Although they sound promising, striking the right balance to implement innovative technologies relies heavily on rigorous predictive analysis. Tools and technologies help meet customer expectations at scale and grow the business beyond imagination with the power of innovation.

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FUTURE TECH

Empowering Industry 4.0 with Artificial Intelligence

Article | March 11, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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FUTURE TECH

How Artificial Intelligence Is Transforming Businesses

Article | June 8, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer

NVIDIA | November 17, 2022

NVIDIA today announced a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models. Azure’s cloud-based AI supercomputer includes powerful and scalable ND- and NC-series virtual machines optimized for AI distributed training and inference. It is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking and the NVIDIA AI Enterprise software suite to its platform. As part of the collaboration, NVIDIA will utilize Azure’s scalable virtual machine instances to research and further accelerate advances in generative AI, a rapidly emerging area of AI in which foundational models like Megatron Turing NLG 530B are the basis for unsupervised, self-learning algorithms to create new text, code, digital images, video or audio. The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers. “AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.” Manuvir Das, vice president of enterprise computing at NVIDIA “AI is fueling the next wave of automation across enterprises and industrial computing, enabling organizations to do more with less as they navigate economic uncertainties,” said Scott Guthrie, executive vice president of the Cloud + AI Group at Microsoft. “Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Microsoft Azure.” Scalable Peak Performance With NVIDIA Compute and Quantum-2 InfiniBand on Azure Microsoft Azure’s AI-optimized virtual machine instances are architected with NVIDIA’s most advanced data center GPUs and are the first public cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand networking. Customers can deploy thousands of GPUs in a single cluster to train even the most massive large language models, build the most complex recommender systems at scale, and enable generative AI at scale. The current Azure instances feature NVIDIA Quantum 200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand networking and NVIDIA H100 GPUs. Combined with Azure’s advanced compute cloud infrastructure, networking and storage, these AI-optimized offerings will provide scalable peak performance for AI training and deep learning inference workloads of any size. Accelerating AI Development and Deployment Additionally, the platform will support a broad range of AI applications and services, including Microsoft DeepSpeed and the NVIDIA AI Enterprise software suite. Microsoft DeepSpeed will leverage the NVIDIA H100 Transformer Engine to accelerate transformer-based models used for large language models, generative AI and writing computer code, among other applications. This technology applies 8-bit floating point precision capabilities to DeepSpeed to dramatically accelerate AI calculations for transformers — at twice the throughput of 16-bit operations. NVIDIA AI Enterprise — the globally adopted software of the NVIDIA AI platform — is certified and supported on Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure instances with NVIDIA H100 GPUs will be added in a future software release. NVIDIA AI Enterprise, which includes the NVIDIA Riva for speech AI and NVIDIA Morpheus cybersecurity application frameworks, streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment. About NVIDIA Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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INNOVATION,SOFTWARE,FUTURE TECH

Unqork Unveils Codeless as a Service

Unqork | November 11, 2022

Unqork, the leader of codeless architecture software development, today announced their vision for the future of software: Codeless as a Service. Codeless as a Service allows enterprise customers to seamlessly build, run and manage next generation software – with a single open data definition. Unqork customers can achieve a secure, multi-cloud codeless architecture for applications that provide usability, extensibility, upgradability, portability, reliability and more. As a result, customers are able to create future-proof software applications that unlock substantial productivity gains with a faster proof of value than traditional coding. In support of Codeless as a Service, Unqork unveiled two major investments in the evolution of its codeless platform, Unqork OS and Codeless Data Experiences. Both releases will meet the evolving needs of enterprise customers looking for easier ways to manage software applications, with a focus on integrability and data functionality. "As we look to the future of software development, we're picking up where the serverless movement left off and continuing on the journey of abstraction and empowering enterprises to build, run and manage their applications without having to think about the underlying code," said Gary Hoberman, CEO and Founder, Unqork. "Codeless as a Service allows customers to create technology with the security, scalability, usability and extensibility that they need, all while simultaneously uniting their business and technology teams, improving developer productivity and reimagining the customer experience." Unqork OS Unqork OS is the next generation of the codeless platform that empowers customers with the tools to build powerful, performant and secure enterprise software and consumer-grade experiences. Driven to expand the possibilities of what customers can build, Unqork OS will unlock the next evolution of Codeless as a Service development. Core features of Unqork OS will focus on providing robust, powerful capabilities. These include: High-Performance Engine & Rules Orchestration: executes complex business logic for more optimized use cases that require high volumes of user content, business logic and data transactions. Embedded Unqork: gives creators the ability to embed Unqork applications picture in picture within existing technology ecosystems to deliver a seamless end-user experience. Self-Service Styling: provides UI tooling that empowers consumer-grade, pixel-perfect, branded digital experiences with design and accessibility in mind. Extensible Component Architecture: enhances creator personalization and control over their application with decomposed, reusable components that they create themselves. Codeless Data Experiences In addition to Unqork OS, Unqork introduced its new Codeless Data Experiences, a world class approach to data-first application development on the Unqork platform. The Codeless Data Experiences include platform features that will enhance data-centric innovations with increased usability so that users can shape, scale, validate and migrate their application data. Features of the Codeless Data Experiences will be incrementally available to Unqork users, with extended features made available over time. These features include: Bring Your Own Schema: supports customers to import their own schema and data models and centralize data management. With Bring Your Own Schema, customers are able to collaborate throughout the SDLC planning phase. Data Binding: a codeless experience that allows creators to drag-and-drop fields directly from a data model into a UI canvas, with the power to have greater control over how data interacts with the application's UI interface. Data Contracts and Validation: provides quick, easy data modeling onboarding and data validation, with full support to import, export and mutate data operations. Data Access: natively ensures all queries are efficient and performant for data models. Data Access allows users to optionally build queries with a visual query builder and delivers centralized RBAC at the data model-level for greater permission control access. Unqork announced these product features at its annual Unqork Create conference, the first-ever conference centered on codeless software development. The conference featured codeless creator sessions, hands-on workshops, training, Unqork experts as well as insights from technology partners and industry luminaries, including leaders from BlackRock, MongoDB, Edward Jones, State Street, Goldman Sachs, JPMorgan, Chubb and more. About Unqork Unqork is the leading codeless development platform that helps leading organizations build, deploy and manage complex software without having to think about code. Unqork created the codeless architecture standard – the future of software development that frees the world's largest enterprises from the pitfalls of legacy code and allows them to focus on innovation to drive business and maintain a competitive edge. More than one third of Unqork's corporate customers are in the Fortune 500, with a customer roster that includes Goldman Sachs, Marsh, Maimonides Medical Center and the U.S. Department of Health and Human Services.

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Contentsquare Releases Breakthrough AI Innovation to Help Brands Accurately Detect Frustrations and Optimize User Journeys

Contentsquare | December 01, 2022

Contentsquare, the global leader in digital experience analytics, today announced it has enhanced its CS Insights product with new AI-powered capabilities that will improve the way businesses fix user frustration at scale. This new, industry-first capability will add a layer of precision to CS Insights, allowing teams to contextualize behaviors and unlock a deeper understanding of how and why customers are interacting with the content on their site. For example, teams will be able to use AI to differentiate between a user searching for a product by clicking multiple times on a product carousel vs. a user rage clicking, demonstrating rising frustration. By leveraging AI to smarten up its insights, Contentsquare is helping businesses better detect frustration along the customer journey and prioritize the right optimizations. For example, a high number of clicks on a home page slider typically signifies positive engagement whereas frequent interaction with the search box and form fields typically signifies users are struggling to accomplish their goals. Moreover, with the newly-enhanced CS Insights, customers can easily visualize these events as each zone analyzed clearly identifies the nature of the frustration — whether it’s a preview of the zone affected by a rage click, multiple interactions with the same field, and more. As the pioneer of in-page, content-zone based experience analytics, Contentsquare is already providing teams with an in-depth understanding of how customers interact with each element of a page (or “zone”). With today’s release, Contentsquare is going one step further and adding a contextual layer to this analysis that takes into account what each element was designed to help customers achieve. “Contentsquare goes the extra mile, by increasing the precision of its AI insights and taking context into consideration — something no other provider in our category has done. Not only does this give our customers a three-dimensional view of user behavior, it also helps them take smarter action, faster, for continuous optimization of the customer journey,” said Vincent Colombet, Head of Product at Contentsquare. “I could not imagine using Contentsquare without CS Insights. It guides us on where to start on our site, focusing on pages with the most conversion loss,” said Allix Berkman, UX/UI Specialist atCanon Inc. “We continuously refine our AI algorithm to make it more powerful, relevant, and context-aware. Recent AI improvements are all focused on surfacing more actionable and contextual insights. “We are excited about this new capability and are confident that it will help our customers drive value for their users and help them prioritize what their businesses need most.” Lucie Buisson, Chief Product Officer at Contentsquare With economic uncertainty forcing businesses to achieve more with less, businesses are putting in extra effort to ensure their digital channels are free of undiscovered blockers and frustrations that stand in the way of customer happiness and retention. No business today can afford to lose transactions unnecessarily, let alone to waste the goodwill of customers to a needlessly frustrating online experience. However, efficiently harnessing insights from billions of data points without spending hours and hours remains the biggest challenge. That's why hundreds of Contentsquare's customers have been using its CS Insights product to automatically surface the areas of frustration that most impact revenue, resulting in much faster time to issue identification and resolution. About Contentsquare Contentsquare delivers the power to make the digital world more human. Its AI-powered platform provides rich and contextual insight into customer behaviors, feelings and intent — at every touchpoint in their journey — enabling businesses to build empathy and create lasting impact. The global leader in digital experience analytics, Contentsquare helps brands everywhere transform the way they do business, allowing them to take action at enterprise scale and build customer trust with security, privacy and accessibility. More than 1000 leading brands use Contentsquare to grow their business, deliver more customer happiness and move with greater agility in a constantly changing world. Its insights power the customer experience on over 1 million websites worldwide. Founded in Paris and with offices around the world, Contentsquare has raised $1.4B in investment funding from leading investors, including funds and accounts managed by BlackRock, Bpifrance, Canaan, Eurazeo, Highland Europe, KKR, LionTree, Sixth Street and SoftBank Vision Fund 2.

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NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer

NVIDIA | November 17, 2022

NVIDIA today announced a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models. Azure’s cloud-based AI supercomputer includes powerful and scalable ND- and NC-series virtual machines optimized for AI distributed training and inference. It is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking and the NVIDIA AI Enterprise software suite to its platform. As part of the collaboration, NVIDIA will utilize Azure’s scalable virtual machine instances to research and further accelerate advances in generative AI, a rapidly emerging area of AI in which foundational models like Megatron Turing NLG 530B are the basis for unsupervised, self-learning algorithms to create new text, code, digital images, video or audio. The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers. “AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.” Manuvir Das, vice president of enterprise computing at NVIDIA “AI is fueling the next wave of automation across enterprises and industrial computing, enabling organizations to do more with less as they navigate economic uncertainties,” said Scott Guthrie, executive vice president of the Cloud + AI Group at Microsoft. “Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Microsoft Azure.” Scalable Peak Performance With NVIDIA Compute and Quantum-2 InfiniBand on Azure Microsoft Azure’s AI-optimized virtual machine instances are architected with NVIDIA’s most advanced data center GPUs and are the first public cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand networking. Customers can deploy thousands of GPUs in a single cluster to train even the most massive large language models, build the most complex recommender systems at scale, and enable generative AI at scale. The current Azure instances feature NVIDIA Quantum 200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand networking and NVIDIA H100 GPUs. Combined with Azure’s advanced compute cloud infrastructure, networking and storage, these AI-optimized offerings will provide scalable peak performance for AI training and deep learning inference workloads of any size. Accelerating AI Development and Deployment Additionally, the platform will support a broad range of AI applications and services, including Microsoft DeepSpeed and the NVIDIA AI Enterprise software suite. Microsoft DeepSpeed will leverage the NVIDIA H100 Transformer Engine to accelerate transformer-based models used for large language models, generative AI and writing computer code, among other applications. This technology applies 8-bit floating point precision capabilities to DeepSpeed to dramatically accelerate AI calculations for transformers — at twice the throughput of 16-bit operations. NVIDIA AI Enterprise — the globally adopted software of the NVIDIA AI platform — is certified and supported on Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure instances with NVIDIA H100 GPUs will be added in a future software release. NVIDIA AI Enterprise, which includes the NVIDIA Riva for speech AI and NVIDIA Morpheus cybersecurity application frameworks, streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment. About NVIDIA Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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INNOVATION,SOFTWARE,FUTURE TECH

Unqork Unveils Codeless as a Service

Unqork | November 11, 2022

Unqork, the leader of codeless architecture software development, today announced their vision for the future of software: Codeless as a Service. Codeless as a Service allows enterprise customers to seamlessly build, run and manage next generation software – with a single open data definition. Unqork customers can achieve a secure, multi-cloud codeless architecture for applications that provide usability, extensibility, upgradability, portability, reliability and more. As a result, customers are able to create future-proof software applications that unlock substantial productivity gains with a faster proof of value than traditional coding. In support of Codeless as a Service, Unqork unveiled two major investments in the evolution of its codeless platform, Unqork OS and Codeless Data Experiences. Both releases will meet the evolving needs of enterprise customers looking for easier ways to manage software applications, with a focus on integrability and data functionality. "As we look to the future of software development, we're picking up where the serverless movement left off and continuing on the journey of abstraction and empowering enterprises to build, run and manage their applications without having to think about the underlying code," said Gary Hoberman, CEO and Founder, Unqork. "Codeless as a Service allows customers to create technology with the security, scalability, usability and extensibility that they need, all while simultaneously uniting their business and technology teams, improving developer productivity and reimagining the customer experience." Unqork OS Unqork OS is the next generation of the codeless platform that empowers customers with the tools to build powerful, performant and secure enterprise software and consumer-grade experiences. Driven to expand the possibilities of what customers can build, Unqork OS will unlock the next evolution of Codeless as a Service development. Core features of Unqork OS will focus on providing robust, powerful capabilities. These include: High-Performance Engine & Rules Orchestration: executes complex business logic for more optimized use cases that require high volumes of user content, business logic and data transactions. Embedded Unqork: gives creators the ability to embed Unqork applications picture in picture within existing technology ecosystems to deliver a seamless end-user experience. Self-Service Styling: provides UI tooling that empowers consumer-grade, pixel-perfect, branded digital experiences with design and accessibility in mind. Extensible Component Architecture: enhances creator personalization and control over their application with decomposed, reusable components that they create themselves. Codeless Data Experiences In addition to Unqork OS, Unqork introduced its new Codeless Data Experiences, a world class approach to data-first application development on the Unqork platform. The Codeless Data Experiences include platform features that will enhance data-centric innovations with increased usability so that users can shape, scale, validate and migrate their application data. Features of the Codeless Data Experiences will be incrementally available to Unqork users, with extended features made available over time. These features include: Bring Your Own Schema: supports customers to import their own schema and data models and centralize data management. With Bring Your Own Schema, customers are able to collaborate throughout the SDLC planning phase. Data Binding: a codeless experience that allows creators to drag-and-drop fields directly from a data model into a UI canvas, with the power to have greater control over how data interacts with the application's UI interface. Data Contracts and Validation: provides quick, easy data modeling onboarding and data validation, with full support to import, export and mutate data operations. Data Access: natively ensures all queries are efficient and performant for data models. Data Access allows users to optionally build queries with a visual query builder and delivers centralized RBAC at the data model-level for greater permission control access. Unqork announced these product features at its annual Unqork Create conference, the first-ever conference centered on codeless software development. The conference featured codeless creator sessions, hands-on workshops, training, Unqork experts as well as insights from technology partners and industry luminaries, including leaders from BlackRock, MongoDB, Edward Jones, State Street, Goldman Sachs, JPMorgan, Chubb and more. About Unqork Unqork is the leading codeless development platform that helps leading organizations build, deploy and manage complex software without having to think about code. Unqork created the codeless architecture standard – the future of software development that frees the world's largest enterprises from the pitfalls of legacy code and allows them to focus on innovation to drive business and maintain a competitive edge. More than one third of Unqork's corporate customers are in the Fortune 500, with a customer roster that includes Goldman Sachs, Marsh, Maimonides Medical Center and the U.S. Department of Health and Human Services.

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Contentsquare Releases Breakthrough AI Innovation to Help Brands Accurately Detect Frustrations and Optimize User Journeys

Contentsquare | December 01, 2022

Contentsquare, the global leader in digital experience analytics, today announced it has enhanced its CS Insights product with new AI-powered capabilities that will improve the way businesses fix user frustration at scale. This new, industry-first capability will add a layer of precision to CS Insights, allowing teams to contextualize behaviors and unlock a deeper understanding of how and why customers are interacting with the content on their site. For example, teams will be able to use AI to differentiate between a user searching for a product by clicking multiple times on a product carousel vs. a user rage clicking, demonstrating rising frustration. By leveraging AI to smarten up its insights, Contentsquare is helping businesses better detect frustration along the customer journey and prioritize the right optimizations. For example, a high number of clicks on a home page slider typically signifies positive engagement whereas frequent interaction with the search box and form fields typically signifies users are struggling to accomplish their goals. Moreover, with the newly-enhanced CS Insights, customers can easily visualize these events as each zone analyzed clearly identifies the nature of the frustration — whether it’s a preview of the zone affected by a rage click, multiple interactions with the same field, and more. As the pioneer of in-page, content-zone based experience analytics, Contentsquare is already providing teams with an in-depth understanding of how customers interact with each element of a page (or “zone”). With today’s release, Contentsquare is going one step further and adding a contextual layer to this analysis that takes into account what each element was designed to help customers achieve. “Contentsquare goes the extra mile, by increasing the precision of its AI insights and taking context into consideration — something no other provider in our category has done. Not only does this give our customers a three-dimensional view of user behavior, it also helps them take smarter action, faster, for continuous optimization of the customer journey,” said Vincent Colombet, Head of Product at Contentsquare. “I could not imagine using Contentsquare without CS Insights. It guides us on where to start on our site, focusing on pages with the most conversion loss,” said Allix Berkman, UX/UI Specialist atCanon Inc. “We continuously refine our AI algorithm to make it more powerful, relevant, and context-aware. Recent AI improvements are all focused on surfacing more actionable and contextual insights. “We are excited about this new capability and are confident that it will help our customers drive value for their users and help them prioritize what their businesses need most.” Lucie Buisson, Chief Product Officer at Contentsquare With economic uncertainty forcing businesses to achieve more with less, businesses are putting in extra effort to ensure their digital channels are free of undiscovered blockers and frustrations that stand in the way of customer happiness and retention. No business today can afford to lose transactions unnecessarily, let alone to waste the goodwill of customers to a needlessly frustrating online experience. However, efficiently harnessing insights from billions of data points without spending hours and hours remains the biggest challenge. That's why hundreds of Contentsquare's customers have been using its CS Insights product to automatically surface the areas of frustration that most impact revenue, resulting in much faster time to issue identification and resolution. About Contentsquare Contentsquare delivers the power to make the digital world more human. Its AI-powered platform provides rich and contextual insight into customer behaviors, feelings and intent — at every touchpoint in their journey — enabling businesses to build empathy and create lasting impact. The global leader in digital experience analytics, Contentsquare helps brands everywhere transform the way they do business, allowing them to take action at enterprise scale and build customer trust with security, privacy and accessibility. More than 1000 leading brands use Contentsquare to grow their business, deliver more customer happiness and move with greater agility in a constantly changing world. Its insights power the customer experience on over 1 million websites worldwide. Founded in Paris and with offices around the world, Contentsquare has raised $1.4B in investment funding from leading investors, including funds and accounts managed by BlackRock, Bpifrance, Canaan, Eurazeo, Highland Europe, KKR, LionTree, Sixth Street and SoftBank Vision Fund 2.

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