A Look at Use Cases for Edge Computing

January 11, 2019 | 91 views

The rapid growth of the Internet of Things (IoT) is driving increased adoption of edge computing — a network design model in which computing resources are placed at the network’s edge in close proximity to data-collection sources. Gartner analysts say 70 percent of the organizations they surveyed recently plan to make edge computing part of their infrastructure plans by the end of 2019.

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The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 14, 2022

Fifth-generation (5G) mobile phone networks that can carry data up to 50 times faster than major carriers' current phone networks are now rolling out. But 5G promises to do more than just speed up our phone service and download times. The mobile industry's fifth-generation (5G) networks are being developed and are prepared for deployment. The expansion of IoT and other intelligent automation applications is being significantly fueled by the advancing 5G networks, which are becoming more widely accessible. For advancements in intelligent automation—the Internet of Things (IoT), Artificial Intelligence (AI), driverless cars, virtual reality, blockchain, and future innovations we haven't even considered yet—5 G's lightning-fast connectivity and low-latency are essential. The arrival of 5G represents more than simply a generational shift for the tech sector as a whole. Contributions by 5G Networks For a number of reasons, the manufacturing sector is moving toward digitalization: to increase revenue by better servicing their customers; to increase demand; to outperform the competition; to reduce costs by boosting productivity and efficiency; and to minimize risk by promoting safety and security. The main requirements and obstacles in the digitization industry were recently recognized by a study. Millions of devices with ultra-reliable, robust, immediate connectivity. Gadgets, which are expensive with a long battery life. Asset tracking along the constantly shifting supply chains. Carrying out remote medical operations. Enhancing the purchasing experience with AR/VR. Implementing AI to improve operations across the board or in various departments. The mobile telecommunications requirements of the Internet of Things cannot be met by the current 4G and 4G LTE networks. Compared to current 4G LTE networking technologies, 5G can also offer a solution to the problem and the quickest network data rate with a relatively low cost and greater communication coverage. The 5G network's quick speeds will lead to new technical developments. The upcoming 5G technology will support hundreds of billions of connections, offer transmission speeds of 10 Gbps, and have an extremely low latency of 1 ms. Additionally, it makes rural areas' services more dependable, minimizing service disparities between rural and urban areas. Even though the 5G network is a development of the 4G and 4G LTE networks, it has a whole new network design and features like virtualization that provide more than impressively fast data speeds.

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AI TECH

AI's Impact on Improving Customer Experience

Article | July 11, 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 | July 13, 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 7, 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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Apps Associates is a global provider of business and IT services and solutions that cover the entire IT life cycle from assessment and planning through implementation, application development, application and load testing, training, and ongoing management and support.

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Edge Impulse Announces Bosch Sensortec Support for Edge ML Sensing Applications

Edge Impulse | July 20, 2022

Edge Impulse has announced that its machine learning development platform now supports Bosch Sensortec sensors, utilized on the new Arduino Nicla Sense ME microcontroller board to allow for unprecedented intelligence in edge-based products and solutions. The Nicla Sense ME is the first Arduino Pro product developed in collaboration with Bosch Sensortec, designed specifically for accelerating the development of intelligent sensing solutions. Measuring just 22.86mm×22.86mm (0.9in.×0.9in.), the Nicla Sense ME features a powerful 64MHz Arm Cortex-M4 microcontroller that can easily handle edge AI functions even with a low power draw; the option to use battery power further complements its size and portability for remote environmental monitoring. Meanwhile, the advanced Bosch Sensortec sensors provide multiple ways to collect and analyze data, including: accelerometer and gyroscope (BHI260AP); high-accuracy pressure sensor (BMP390); a geomagnetic sensor (BMM150); and a combined low-power gas, pressure, temperature, and humidity sensor (BME688). These four sensors can also be used in concert for concurrent environmental and movement analysis. Edge Impulse, the leading development platform for ML on edge devices, allows developers to quickly and easily create and optimize solutions with real-world data, such as those collected by Sensortec sensors. The company's platform streamlines the entire process of gathering and structuring datasets, designing ML algorithms with ready-made building blocks, validating the models with real-time data, and deploying the fully optimized production-ready result to an edge target. The Edge Impulse development platform, already in use by thousands of companies, stands to unlock massive value across every industry, with millions of developers making billions of devices smarter. "The capabilities of the Nicla Sense ME and its Bosch Sensortec sensors open incredible opportunities for enterprise applications. "Using the accessible development tools provided by Edge Impulse, Bosch, and Arduino will allow more engineers and developers to move intelligence closer to where the data is being collected." Edge Impulse CEO and co-founder Zach Shelby "The next generation of industrial monitoring is smart sensing that can be deployed in remote environments," said Bosch Sensortec CEO Stefan Finkbeiner. "Bosch Sensortec's capabilities are perfectly matched to Arduino's hardware and Edge Impulse's machine learning platform to rapidly design, train, and launch custom tools for almost any service." About Edge Impulse Edge Impulse is the leading machine learning platform, enabling all enterprises to build smarter edge products. Their technology empowers developers to bring more ML products to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. The Edge Impulse platform provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced ML with streaming data. With over 40,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem. About Bosch Sensortec Bosch Sensortec GmbH, a fully owned subsidiary of Robert Bosch GmbH, develops and markets a wide portfolio of microelectromechanical systems (MEMS) sensors and solutions tailored for smartphones, tablets, wearables and hearables, AR/VR devices, drones, robots, smart home and IoT (Internet of Things) applications. The product portfolio includes 3-axis accelerometers, gyroscopes and magnetometers, integrated 6- and 9-axis sensors, smart sensors, barometric pressure sensors, humidity sensors, gas sensors, optical microsystems and comprehensive software. Since its foundation in 2005, Bosch Sensortec has emerged as the MEMS technology leader in the markets it addresses. Bosch has been both a pioneer and a global market leader in the MEMS sensor segment since 1995 and has, to date, sold more than 15 billion MEMS sensors.

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AI APPLICATIONS

SmartCow Launches AIoT Device Management Platform to Simplify Deployment and Centralized Management of Edge AI Systems

SmartCow | June 21, 2022

SmartCow, an AI engineering company specializing in video analytics, AIoT devices, and smart city solutions today introduced its new AIoT Device Management Platform, FleetTrackr, that offers simplified deployment and centralized management of edge AI systems through a hybrid-cloud service. Key applications include smart cities using city surveillance and traffic management with thousands of AIoT devices connected simultaneously; smart manufacturing using AI for inventory management; large-scale surveillance and security deployments; and smart retail edge deployments. "Fleet management software will revolutionize companies' ability to digitally transform their business operations, and FleetTrackr is at the forefront of speciality AIoT device management software. "We recognize the need for responsive, flexible, and remotely-operated AI solutions as demand increases for efficient, smart technology." Ravi Kiran, SmartCow CEO Fleet management software is crucial for effective device management and large-scale AI deployments, whether that be for retailers building intelligent stores, or hospitals using AI to improve patient care and administrative workflow. Fleets of IoT devices need to be capable of running unattended with the ability to be reprogrammed with newer versions of device kernels or security updates. Instead of allocating unnecessary resources to reprogram these devices with new software updates, FleetTrackr comes with its own Firmware-Over-The-Air (FOTA) functionality that allows users to provision, manage, maintain, monitor, and update thousands of devices, entirely over-the-air. FleetTrackr's 24/7 remote management includes integrated security and privacy and offers a 30 percent reduction in maintenance, time, and labor costs. "A large number of heterogeneous devices forming an IoT network should be capable of running unattended at all times and reprogramming a group of devices is a challenging task when they cannot be done remotely. FleetTrackr allows administrators to update all the devices in a desired network with new software without spending weeks planning and executing deployment plans," continued Kiran. "FleetTrackr enables users to not only identify problems with large fleets of devices, but to perform software updates as well as backup and restore firmware when a device turns out to be faulty, making the experience seamless, efficient, and secure." The FleetTrackr Unified Dashboard The FleetTrackr Unified Dashboard (UI) enables users and teams to remotely manage tens of thousands of IoT devices that are in the field. The UI dashboard provides solutions for device management, software management, and issue management. Users can upgrade their AI solutions, add or delete applications, update system firmware and software, streamline operations and administrative tasks, and monitor the health metrics of devices spread over vast distances from a single control panel. About SmartCow Established in 2016, SmartCow is an end-to-end AI engineering company that builds hardware and software products for AI applications used by the defense industry, in smart cities and industry 4.0. Strategic partners include NVIDIA and PNY. The company is located in Malta, India and Taiwan and is expanding to Italy, France and Singapore.

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AI TECH

Pryon Positions for Leadership in AI-Enhanced Knowledge Management With Funding and Talent Momentum

Pryon | November 25, 2021

Pryon, the artificial intelligence (AI) company founded by the inventors of the technologies behind today’s mainstream digital assistants used by hundreds of millions of people per day, announced today new leadership and funding that will bring the next generation of interactive knowledge management to the everyday work experience. Chris Mahl joined Pryon as President and Chief Revenue Officer to oversee corporate operations and drive growth strategies. Mahl brings an extensive background in enterprise sales leadership from Oracle, Informatica and Salesforce and a track record of bringing companies to profitability in more than a decade of advising startups and venture capital firms. On the heels of an equity financing round filed in September, Pryon also welcomed new board members and observers representing some of the industry’s leading venture capital funds, signaling continued confidence in the company’s trajectory. The round was supported with new investments by 3ig Ventures; Duke University Management Company (DUMAC); Gaingels; Micron Ventures; Piedmont Capital Partners; Private Ventures Group; Rex Health Ventures; Samuel J. Palmisano, Chairman of the Center for Global Enterprise and former Chairman and CEO of IBM; and Steel Perlot, with existing participation from BootstrapLabs, Breyer Capital, Good Growth Capital, Greycroft and Revolution’s Rise of the Rest. Incoming board members include Kirsten Wolberg, former executive with DocuSign, PayPal and Salesforce; Michelle Ritter, CEO of Steel Perlot, a management company incubating, investing in, and scaling companies in today’s most challenging technical industries; and Pryon’s Chris Mahl. “This is an incredible time for Pryon’s platform. Steel Perlot believes applied AI will increasingly transform business at scale. Pryon is applying machine learning and artificial intelligence to tackle a massive problem in workplace productivity and knowledge management. We invested in Pryon’s mission and team because we believe it has the technical depth, leadership, access, and product to become a category-defining company.” Michelle Ritter, CEO of Steel Perlot Palmisano said, “As businesses are accelerating their digital transformation, Pryon's AI technology addresses the critical need for organizations to translate massive volumes of legacy content into actionable knowledge.” Wolberg added, “Pryon has developed technology that fills a gap in the enterprise software stack. In my experience, what the company offers is critical for organizations who deal with large amounts of application or document-based data, or those who want to expand the capabilities of their virtual assistants. The sky is really the limit for how Pryon’s platform can be applied to provide a unique level of accuracy and speed to the management of enterprise knowledge. I look forward to being a part of their journey.” Pryon applies AI-based intelligent document processing (IDP) to augment unstructured data from disparate sources such as application knowledge bases, digital libraries and document stores. Using proprietary computer vision and natural language engines, the company’s platform enriches the content to boost accuracy. This information retrieval for question answering (IRQA) capability allows users and systems to dynamically converse with previously static information. The platform’s API also rapidly expands the functionality of existing AI assistants, chatbots, and interactive voice response (IVR) installations, which can typically only respond to a limited set of requests, reducing the business impact of contact centers and help desks. Mahl said, “Since the moment I met the team, I have been incredibly impressed and sense the same level of energy, quality and vision I witnessed in my time at Salesforce and other successful companies in hyper growth. Our sole purpose at Pryon is to transform enterprise content into a cohesive asset that drives business value.” About Pryon Pryon is an artificial intelligence (AI) company focused on enterprise knowledge management. Its natural language processing (NLP) platform transforms unstructured data into experiences that increase productivity with unmatched accuracy and speed. Pryon’s automated machine learning engines deliver rapid time to value by enriching existing content. This no-code approach prevents operational disruption and allows organizations to quickly maximize the business value trapped within their information assets. Pryon was founded by Igor Jablokov, whose previous company defined the state of the art for AI assistants and was acquired by Amazon to form the basis for Alexa.

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SOFTWARE

Edge Impulse Announces Bosch Sensortec Support for Edge ML Sensing Applications

Edge Impulse | July 20, 2022

Edge Impulse has announced that its machine learning development platform now supports Bosch Sensortec sensors, utilized on the new Arduino Nicla Sense ME microcontroller board to allow for unprecedented intelligence in edge-based products and solutions. The Nicla Sense ME is the first Arduino Pro product developed in collaboration with Bosch Sensortec, designed specifically for accelerating the development of intelligent sensing solutions. Measuring just 22.86mm×22.86mm (0.9in.×0.9in.), the Nicla Sense ME features a powerful 64MHz Arm Cortex-M4 microcontroller that can easily handle edge AI functions even with a low power draw; the option to use battery power further complements its size and portability for remote environmental monitoring. Meanwhile, the advanced Bosch Sensortec sensors provide multiple ways to collect and analyze data, including: accelerometer and gyroscope (BHI260AP); high-accuracy pressure sensor (BMP390); a geomagnetic sensor (BMM150); and a combined low-power gas, pressure, temperature, and humidity sensor (BME688). These four sensors can also be used in concert for concurrent environmental and movement analysis. Edge Impulse, the leading development platform for ML on edge devices, allows developers to quickly and easily create and optimize solutions with real-world data, such as those collected by Sensortec sensors. The company's platform streamlines the entire process of gathering and structuring datasets, designing ML algorithms with ready-made building blocks, validating the models with real-time data, and deploying the fully optimized production-ready result to an edge target. The Edge Impulse development platform, already in use by thousands of companies, stands to unlock massive value across every industry, with millions of developers making billions of devices smarter. "The capabilities of the Nicla Sense ME and its Bosch Sensortec sensors open incredible opportunities for enterprise applications. "Using the accessible development tools provided by Edge Impulse, Bosch, and Arduino will allow more engineers and developers to move intelligence closer to where the data is being collected." Edge Impulse CEO and co-founder Zach Shelby "The next generation of industrial monitoring is smart sensing that can be deployed in remote environments," said Bosch Sensortec CEO Stefan Finkbeiner. "Bosch Sensortec's capabilities are perfectly matched to Arduino's hardware and Edge Impulse's machine learning platform to rapidly design, train, and launch custom tools for almost any service." About Edge Impulse Edge Impulse is the leading machine learning platform, enabling all enterprises to build smarter edge products. Their technology empowers developers to bring more ML products to market faster, and helps enterprise teams rapidly develop industry-specific solutions in weeks instead of years. The Edge Impulse platform provides powerful automation and low-code capabilities to make it easier to build valuable datasets and develop advanced ML with streaming data. With over 40,000 developers, and partnerships with the top silicon vendors, Edge Impulse offers a seamless integration experience to validate and deploy with confidence across the largest hardware ecosystem. About Bosch Sensortec Bosch Sensortec GmbH, a fully owned subsidiary of Robert Bosch GmbH, develops and markets a wide portfolio of microelectromechanical systems (MEMS) sensors and solutions tailored for smartphones, tablets, wearables and hearables, AR/VR devices, drones, robots, smart home and IoT (Internet of Things) applications. The product portfolio includes 3-axis accelerometers, gyroscopes and magnetometers, integrated 6- and 9-axis sensors, smart sensors, barometric pressure sensors, humidity sensors, gas sensors, optical microsystems and comprehensive software. Since its foundation in 2005, Bosch Sensortec has emerged as the MEMS technology leader in the markets it addresses. Bosch has been both a pioneer and a global market leader in the MEMS sensor segment since 1995 and has, to date, sold more than 15 billion MEMS sensors.

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AI APPLICATIONS

SmartCow Launches AIoT Device Management Platform to Simplify Deployment and Centralized Management of Edge AI Systems

SmartCow | June 21, 2022

SmartCow, an AI engineering company specializing in video analytics, AIoT devices, and smart city solutions today introduced its new AIoT Device Management Platform, FleetTrackr, that offers simplified deployment and centralized management of edge AI systems through a hybrid-cloud service. Key applications include smart cities using city surveillance and traffic management with thousands of AIoT devices connected simultaneously; smart manufacturing using AI for inventory management; large-scale surveillance and security deployments; and smart retail edge deployments. "Fleet management software will revolutionize companies' ability to digitally transform their business operations, and FleetTrackr is at the forefront of speciality AIoT device management software. "We recognize the need for responsive, flexible, and remotely-operated AI solutions as demand increases for efficient, smart technology." Ravi Kiran, SmartCow CEO Fleet management software is crucial for effective device management and large-scale AI deployments, whether that be for retailers building intelligent stores, or hospitals using AI to improve patient care and administrative workflow. Fleets of IoT devices need to be capable of running unattended with the ability to be reprogrammed with newer versions of device kernels or security updates. Instead of allocating unnecessary resources to reprogram these devices with new software updates, FleetTrackr comes with its own Firmware-Over-The-Air (FOTA) functionality that allows users to provision, manage, maintain, monitor, and update thousands of devices, entirely over-the-air. FleetTrackr's 24/7 remote management includes integrated security and privacy and offers a 30 percent reduction in maintenance, time, and labor costs. "A large number of heterogeneous devices forming an IoT network should be capable of running unattended at all times and reprogramming a group of devices is a challenging task when they cannot be done remotely. FleetTrackr allows administrators to update all the devices in a desired network with new software without spending weeks planning and executing deployment plans," continued Kiran. "FleetTrackr enables users to not only identify problems with large fleets of devices, but to perform software updates as well as backup and restore firmware when a device turns out to be faulty, making the experience seamless, efficient, and secure." The FleetTrackr Unified Dashboard The FleetTrackr Unified Dashboard (UI) enables users and teams to remotely manage tens of thousands of IoT devices that are in the field. The UI dashboard provides solutions for device management, software management, and issue management. Users can upgrade their AI solutions, add or delete applications, update system firmware and software, streamline operations and administrative tasks, and monitor the health metrics of devices spread over vast distances from a single control panel. About SmartCow Established in 2016, SmartCow is an end-to-end AI engineering company that builds hardware and software products for AI applications used by the defense industry, in smart cities and industry 4.0. Strategic partners include NVIDIA and PNY. The company is located in Malta, India and Taiwan and is expanding to Italy, France and Singapore.

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AI TECH

Pryon Positions for Leadership in AI-Enhanced Knowledge Management With Funding and Talent Momentum

Pryon | November 25, 2021

Pryon, the artificial intelligence (AI) company founded by the inventors of the technologies behind today’s mainstream digital assistants used by hundreds of millions of people per day, announced today new leadership and funding that will bring the next generation of interactive knowledge management to the everyday work experience. Chris Mahl joined Pryon as President and Chief Revenue Officer to oversee corporate operations and drive growth strategies. Mahl brings an extensive background in enterprise sales leadership from Oracle, Informatica and Salesforce and a track record of bringing companies to profitability in more than a decade of advising startups and venture capital firms. On the heels of an equity financing round filed in September, Pryon also welcomed new board members and observers representing some of the industry’s leading venture capital funds, signaling continued confidence in the company’s trajectory. The round was supported with new investments by 3ig Ventures; Duke University Management Company (DUMAC); Gaingels; Micron Ventures; Piedmont Capital Partners; Private Ventures Group; Rex Health Ventures; Samuel J. Palmisano, Chairman of the Center for Global Enterprise and former Chairman and CEO of IBM; and Steel Perlot, with existing participation from BootstrapLabs, Breyer Capital, Good Growth Capital, Greycroft and Revolution’s Rise of the Rest. Incoming board members include Kirsten Wolberg, former executive with DocuSign, PayPal and Salesforce; Michelle Ritter, CEO of Steel Perlot, a management company incubating, investing in, and scaling companies in today’s most challenging technical industries; and Pryon’s Chris Mahl. “This is an incredible time for Pryon’s platform. Steel Perlot believes applied AI will increasingly transform business at scale. Pryon is applying machine learning and artificial intelligence to tackle a massive problem in workplace productivity and knowledge management. We invested in Pryon’s mission and team because we believe it has the technical depth, leadership, access, and product to become a category-defining company.” Michelle Ritter, CEO of Steel Perlot Palmisano said, “As businesses are accelerating their digital transformation, Pryon's AI technology addresses the critical need for organizations to translate massive volumes of legacy content into actionable knowledge.” Wolberg added, “Pryon has developed technology that fills a gap in the enterprise software stack. In my experience, what the company offers is critical for organizations who deal with large amounts of application or document-based data, or those who want to expand the capabilities of their virtual assistants. The sky is really the limit for how Pryon’s platform can be applied to provide a unique level of accuracy and speed to the management of enterprise knowledge. I look forward to being a part of their journey.” Pryon applies AI-based intelligent document processing (IDP) to augment unstructured data from disparate sources such as application knowledge bases, digital libraries and document stores. Using proprietary computer vision and natural language engines, the company’s platform enriches the content to boost accuracy. This information retrieval for question answering (IRQA) capability allows users and systems to dynamically converse with previously static information. The platform’s API also rapidly expands the functionality of existing AI assistants, chatbots, and interactive voice response (IVR) installations, which can typically only respond to a limited set of requests, reducing the business impact of contact centers and help desks. Mahl said, “Since the moment I met the team, I have been incredibly impressed and sense the same level of energy, quality and vision I witnessed in my time at Salesforce and other successful companies in hyper growth. Our sole purpose at Pryon is to transform enterprise content into a cohesive asset that drives business value.” About Pryon Pryon is an artificial intelligence (AI) company focused on enterprise knowledge management. Its natural language processing (NLP) platform transforms unstructured data into experiences that increase productivity with unmatched accuracy and speed. Pryon’s automated machine learning engines deliver rapid time to value by enriching existing content. This no-code approach prevents operational disruption and allows organizations to quickly maximize the business value trapped within their information assets. Pryon was founded by Igor Jablokov, whose previous company defined the state of the art for AI assistants and was acquired by Amazon to form the basis for Alexa.

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