The Keys to Unlocking the Power of AI in the Service Desk

N/A | June 3, 2019 | 32 views

The intersection of service desk goals and artificial intelligence is nearly a perfect fit. Since office technology was introduced, IT leaders have needed a way to ensure that the employee is enabled by tools and devices instead of impaired by them. The evolution of best practice frameworks (like ITIL), service desk tools and software, plus IT and service infrastructures help ensure a positive, frictionless experience for the employee.

Spotlight

Relativity

Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS platform RelativityOne manages large volumes of data and quickly identifies key issues during litigation and internal investigations. The AI-powered communication surveillance platform, Relativity Trace proactively detects regulatory misconduct like insider trading, collusion and other non-compliant behavior. Relativity has more than 300,000 annual users in 48+ countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 199 of the Am Law 200. Relativity has been named one of Chicago's Top Workplaces by the Chicago Tribune for 10 consecutive years.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | July 13, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | August 2, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 26, 2022

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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SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Relativity

Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS platform RelativityOne manages large volumes of data and quickly identifies key issues during litigation and internal investigations. The AI-powered communication surveillance platform, Relativity Trace proactively detects regulatory misconduct like insider trading, collusion and other non-compliant behavior. Relativity has more than 300,000 annual users in 48+ countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 199 of the Am Law 200. Relativity has been named one of Chicago's Top Workplaces by the Chicago Tribune for 10 consecutive years.

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AI TECH,GENERAL AI,AI APPLICATIONS

Nextech AR Launches Groundbreaking AI Powered SaaS Software Platform “Toggle3D” For Rapidly Growing CAD-3D Model Market

Nextech AR | September 23, 2022

Nextech AR Solutions Corp. , a Metaverse Company and leading provider of augmented reality (“AR”) experience technologies and 3D model services is pleased to announce it has launched its groundbreaking Toggle3D, a new AI powered SaaS platform that enables the creation, design, configuration and deployment of 3D models at scale. The Company sees this launch as a major milestone on its way to becoming the dominant 3D model platform and looks forward to Toggle3D becoming a new high margin engine of growth. Toggle3D is a standalone web application which enables product designers, 3D artists, marketing professionals and eCommerce site owners to create, customize and publish high-quality 3D models and experiences without any technical or 3D design knowledge required. The Company believes that Toggle3D is the first platform of its kind, and this break-through SaaS product is a potential game changer for the manufacturing and design industry, as it provides a viable solution to convert large CAD files into lightweight 3D models at affordable prices and at scale. CAD is a function of product engineering. Industrial designers, working for product manufacturers, use CAD software like AutoCAD, and SolidWorks to design many of the products in the modern world. The Toggle3D platform leveraged AI so those raw CAD files can be converted to photo realistic, fully textured 3D models at scale. Toggle3D technology creates optimized 3D meshes that are suitable for 3D and AR applications. The use of CAD files is ubiquitous across manufacturing verticals including; automotive, aerospace, industrial machinery, civil and construction, electrical & electronics, pharmaceutical, healthcare, consumer goods and others. According to BIS Research, the CAD market, quantified by the amount spent on the creation of CAD files, is $11 billion dollars by 2023.1...the Company sees substantial use cases. Toggle3D uses Nextech AR’s patent pending technology AI (enabling the conversion of CAD files into 3D models at scale) as well as the Company’s ARitize Configurator product. Creators can easily transform their CAD files into 3D models, or bring their existing 3D models into the platform. Within the platform, creators will be able to conduct 3 types of projects which are all templatized for a fantastic user experience: 3D Product Configurators, Virtual Photography, and Product Demos being rolled out over the next few weeks. To rapidly gain early adopters, Toggle3D will be available both through a free trial and pro SaaS license. A free license will give users just enough functionality to try out the platform and experiment with the technology. By upgrading to a pro plan, users will be granted full access to the entire platform. This includes unlimited projects, more materials, larger file uploads, more storage, and other advanced editing tools. It is a completely self-serve platform, that contains an extensive pre-built library of high-quality over 1000 PBR materials. Toggle3D makes things easy, with a friendly user interface that works for the user and makes the entire 3D journey seamless and predictable. The user is fully in control of their design output. Yesterday, CEO Evan Gappelberg joined the Wall Street Reporter’s NEXT SUPER STOCK for a livestream event, where he discussed the new Toggle3D product and provided a live demo of the platform. About ARitize Configurator ARitize Configurator was previously only available as a managed service but now is also available as a self-serve product through the Toggle3D platform. To use the product configurator within Toggle3D, a user is required to bring a CAD file or an existing 3D model. Once the 3D model is created or uploaded, the configurator tool makes it easy and seamless to change the colors, materials, and individual parts all in engaging real-time 3D. About Nextech AR Nextech AR Solutions is the engine accelerating the growth of the Metaverse. Using breakthrough AI, Nextech AR is able to quickly, easily and affordably ARitize (transform) vast quantities and varieties of existing assets at scale making products, people and places ready for interactive 3D use, giving creators at every level all the essential tools they need to build out their digital AR vision in the Metaverse. Our platform agnostic tools allow brands, educators, students, manufacturers, creators, and technologists to create immersive, interactive and the most photo-realistic 3D assets and digital environments, compose AR experiences, and publish them omnichannel. With a full suite of end-to-end AR solutions in 3D Commerce, Education, Events, and Industrial Manufacturing, Nextech AR is in a unique position to meet the needs of the world’s biggest brands and all Metaverse contributors.

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AI TECH,GENERAL AI

Run:ai Certified to Run NVIDIA AI Enterprise Software Suite

Run:ai | September 22, 2022

Run:ai, the leader in compute orchestration for AI workloads, today announced that its Atlas Platform is certified to run NVIDIA AI Enterprise, an end-to-end, cloud-native suite of AI and data analytics software that is optimized to enable any organization to use AI. "The certification of Run:AI Atlas for NVIDIA AI Enterprise will help data scientists run their AI workloads most efficiently. "Our mission is to speed up AI and get more models into production, and NVIDIA has been working closely with us to help achieve that goal." Omri Geller, CEO and co-founder of Run:ai With many companies now operating advanced machine learning technology and running bigger models on more hardware, demand for AI computing chips continues to grow. GPUs are indispensable for running AI applications, and companies are turning to software to reap the most benefit from their AI infrastructure and get models to market faster. The Run:ai Atlas Platform uses a smart Kubernetes Scheduler and software-based Fractional GPU technology to provide AI practitioners seamless access to multiple GPUs, multiple GPU nodes, or fractions of a single GPU. This enables teams to match the right amount of computing power to the needs of every AI workload, so they can get more done on the same chips. With these capabilities, Run:ai's Atlas Platform lets enterprises maximize the efficiency of their infrastructure, avoiding a scenario where GPUs sit idle or use only a small amount of their power. "Enterprises across industries are turning to AI to power the breakthroughs that will help improve customer service, boost sales and optimize operations," said Justin Boitano, vice president of enterprise and edge computing at NVIDIA. "Run:ai's certification for NVIDIA AI Enterprise provides customers with an integrated, cloud-native platform for deploying AI workflows with MLOps management capabilities." Run:ai creates fractional GPUs as virtual ones within available GPU framebuffer memory and compute space. These fractional GPUs can be accessed by containers, enabling different workloads to run in these containers — in parallel and on the same GPU. Run:ai works well on VMware vSphere and bare metal servers, and supports various distributions of Kubernetes. This certification is the latest in a series of Run:ai's collaborations with NVIDIA. In March, Run:ai completed a proof of concept which enabled multi-cloud GPU flexibility for companies using NVIDIA GPUs in the cloud. This was followed by the company fully integrating NVIDIA Triton Inference Server. And in June, Run:ai worked with Weights & Biases and NVIDIA to gain access to NVIDIA-accelerated computing resources orchestrated by Run:ai's Atlas Platform. About Run:ai Run:ai's Atlas Platform brings cloud-like simplicity to AI resource management - providing researchers with on-demand access to pooled resources for any AI workload. An innovative cloud-native operating system - which includes a workload-aware scheduler and an abstraction layer - helps IT simplify AI implementation, increase team productivity, and gain full utilization of expensive GPUs. Using Run:ai, companies streamline development, management, and scaling of AI applications across any infrastructure, including on-premises, edge and cloud.

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AI TECH,GENERAL AI

Altair Announces Completion of Acquisition of RapidMiner

Altair | September 17, 2022

Altair , a global leader in computational science and artificial intelligence (AI), has completed the acquisition of RapidMiner, a leader in advanced data analytics and machine learning (ML) software. RapidMiner's well-established desktop platform and new-to-market cloud platform (multi-tenant and SaaS ready) strengthens Altair's current end-to-end data analytics (DA) portfolio, which already offers customers the power to understand, transform, act on, and automate their data. Altair is well positioned to execute on the newly acquired technology and continue to grow its existing business. About Altair Altair is a global leader in computational science and artificial intelligence (AI) that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future.

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AI TECH,GENERAL AI,AI APPLICATIONS

Nextech AR Launches Groundbreaking AI Powered SaaS Software Platform “Toggle3D” For Rapidly Growing CAD-3D Model Market

Nextech AR | September 23, 2022

Nextech AR Solutions Corp. , a Metaverse Company and leading provider of augmented reality (“AR”) experience technologies and 3D model services is pleased to announce it has launched its groundbreaking Toggle3D, a new AI powered SaaS platform that enables the creation, design, configuration and deployment of 3D models at scale. The Company sees this launch as a major milestone on its way to becoming the dominant 3D model platform and looks forward to Toggle3D becoming a new high margin engine of growth. Toggle3D is a standalone web application which enables product designers, 3D artists, marketing professionals and eCommerce site owners to create, customize and publish high-quality 3D models and experiences without any technical or 3D design knowledge required. The Company believes that Toggle3D is the first platform of its kind, and this break-through SaaS product is a potential game changer for the manufacturing and design industry, as it provides a viable solution to convert large CAD files into lightweight 3D models at affordable prices and at scale. CAD is a function of product engineering. Industrial designers, working for product manufacturers, use CAD software like AutoCAD, and SolidWorks to design many of the products in the modern world. The Toggle3D platform leveraged AI so those raw CAD files can be converted to photo realistic, fully textured 3D models at scale. Toggle3D technology creates optimized 3D meshes that are suitable for 3D and AR applications. The use of CAD files is ubiquitous across manufacturing verticals including; automotive, aerospace, industrial machinery, civil and construction, electrical & electronics, pharmaceutical, healthcare, consumer goods and others. According to BIS Research, the CAD market, quantified by the amount spent on the creation of CAD files, is $11 billion dollars by 2023.1...the Company sees substantial use cases. Toggle3D uses Nextech AR’s patent pending technology AI (enabling the conversion of CAD files into 3D models at scale) as well as the Company’s ARitize Configurator product. Creators can easily transform their CAD files into 3D models, or bring their existing 3D models into the platform. Within the platform, creators will be able to conduct 3 types of projects which are all templatized for a fantastic user experience: 3D Product Configurators, Virtual Photography, and Product Demos being rolled out over the next few weeks. To rapidly gain early adopters, Toggle3D will be available both through a free trial and pro SaaS license. A free license will give users just enough functionality to try out the platform and experiment with the technology. By upgrading to a pro plan, users will be granted full access to the entire platform. This includes unlimited projects, more materials, larger file uploads, more storage, and other advanced editing tools. It is a completely self-serve platform, that contains an extensive pre-built library of high-quality over 1000 PBR materials. Toggle3D makes things easy, with a friendly user interface that works for the user and makes the entire 3D journey seamless and predictable. The user is fully in control of their design output. Yesterday, CEO Evan Gappelberg joined the Wall Street Reporter’s NEXT SUPER STOCK for a livestream event, where he discussed the new Toggle3D product and provided a live demo of the platform. About ARitize Configurator ARitize Configurator was previously only available as a managed service but now is also available as a self-serve product through the Toggle3D platform. To use the product configurator within Toggle3D, a user is required to bring a CAD file or an existing 3D model. Once the 3D model is created or uploaded, the configurator tool makes it easy and seamless to change the colors, materials, and individual parts all in engaging real-time 3D. About Nextech AR Nextech AR Solutions is the engine accelerating the growth of the Metaverse. Using breakthrough AI, Nextech AR is able to quickly, easily and affordably ARitize (transform) vast quantities and varieties of existing assets at scale making products, people and places ready for interactive 3D use, giving creators at every level all the essential tools they need to build out their digital AR vision in the Metaverse. Our platform agnostic tools allow brands, educators, students, manufacturers, creators, and technologists to create immersive, interactive and the most photo-realistic 3D assets and digital environments, compose AR experiences, and publish them omnichannel. With a full suite of end-to-end AR solutions in 3D Commerce, Education, Events, and Industrial Manufacturing, Nextech AR is in a unique position to meet the needs of the world’s biggest brands and all Metaverse contributors.

Read More

AI TECH,GENERAL AI

Run:ai Certified to Run NVIDIA AI Enterprise Software Suite

Run:ai | September 22, 2022

Run:ai, the leader in compute orchestration for AI workloads, today announced that its Atlas Platform is certified to run NVIDIA AI Enterprise, an end-to-end, cloud-native suite of AI and data analytics software that is optimized to enable any organization to use AI. "The certification of Run:AI Atlas for NVIDIA AI Enterprise will help data scientists run their AI workloads most efficiently. "Our mission is to speed up AI and get more models into production, and NVIDIA has been working closely with us to help achieve that goal." Omri Geller, CEO and co-founder of Run:ai With many companies now operating advanced machine learning technology and running bigger models on more hardware, demand for AI computing chips continues to grow. GPUs are indispensable for running AI applications, and companies are turning to software to reap the most benefit from their AI infrastructure and get models to market faster. The Run:ai Atlas Platform uses a smart Kubernetes Scheduler and software-based Fractional GPU technology to provide AI practitioners seamless access to multiple GPUs, multiple GPU nodes, or fractions of a single GPU. This enables teams to match the right amount of computing power to the needs of every AI workload, so they can get more done on the same chips. With these capabilities, Run:ai's Atlas Platform lets enterprises maximize the efficiency of their infrastructure, avoiding a scenario where GPUs sit idle or use only a small amount of their power. "Enterprises across industries are turning to AI to power the breakthroughs that will help improve customer service, boost sales and optimize operations," said Justin Boitano, vice president of enterprise and edge computing at NVIDIA. "Run:ai's certification for NVIDIA AI Enterprise provides customers with an integrated, cloud-native platform for deploying AI workflows with MLOps management capabilities." Run:ai creates fractional GPUs as virtual ones within available GPU framebuffer memory and compute space. These fractional GPUs can be accessed by containers, enabling different workloads to run in these containers — in parallel and on the same GPU. Run:ai works well on VMware vSphere and bare metal servers, and supports various distributions of Kubernetes. This certification is the latest in a series of Run:ai's collaborations with NVIDIA. In March, Run:ai completed a proof of concept which enabled multi-cloud GPU flexibility for companies using NVIDIA GPUs in the cloud. This was followed by the company fully integrating NVIDIA Triton Inference Server. And in June, Run:ai worked with Weights & Biases and NVIDIA to gain access to NVIDIA-accelerated computing resources orchestrated by Run:ai's Atlas Platform. About Run:ai Run:ai's Atlas Platform brings cloud-like simplicity to AI resource management - providing researchers with on-demand access to pooled resources for any AI workload. An innovative cloud-native operating system - which includes a workload-aware scheduler and an abstraction layer - helps IT simplify AI implementation, increase team productivity, and gain full utilization of expensive GPUs. Using Run:ai, companies streamline development, management, and scaling of AI applications across any infrastructure, including on-premises, edge and cloud.

Read More

AI TECH,GENERAL AI

Altair Announces Completion of Acquisition of RapidMiner

Altair | September 17, 2022

Altair , a global leader in computational science and artificial intelligence (AI), has completed the acquisition of RapidMiner, a leader in advanced data analytics and machine learning (ML) software. RapidMiner's well-established desktop platform and new-to-market cloud platform (multi-tenant and SaaS ready) strengthens Altair's current end-to-end data analytics (DA) portfolio, which already offers customers the power to understand, transform, act on, and automate their data. Altair is well positioned to execute on the newly acquired technology and continue to grow its existing business. About Altair Altair is a global leader in computational science and artificial intelligence (AI) that provides software and cloud solutions in simulation, high-performance computing (HPC), data analytics, and AI. Altair enables organizations across all industries to compete more effectively and drive smarter decisions in an increasingly connected world – all while creating a greener, more sustainable future.

Read More

Events