Intel debuts Pohoiki Springs, a powerful neuromorphic research system for AI workloads

VentureBeat | March 18, 2020

This morning, Intel announced the general readiness of Pohoiki Springs, a powerful self-contained neuromorphic system that’s about the size of five standard servers. The company says the system will be available to members of the Intel Neuromorphic Research Community via the cloud using Intel’s Nx SDK and community-contributed software components, giving them a tool to scale up their neuromorphic research and explore ways to accelerate workloads that run slowly on today’s conventional architectures.

Spotlight

The smooth and efficient running of the Procure to Pay (P2P) process is the sign of an optimized process. It points to a well-operated iProcurement system with good content, a compliant user community, and receipting that does not need prompting. However, many organizations struggle with their P2P processes. Read on to learn more about how you can get to a happy nirvana in your P2P environment. What are you measuring? If you are in IT, you are probably measuring system availability. If you are in finance, you are probably measuring procurement savings. If you are in procurement, you may not be measuring anything at all.


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AI TECH

NCI announces its transformation to Empower AI

Empower AI | June 08, 2022

NCI Information Systems, Inc., a long-time technology provider to U.S. government agencies, today announced that it has become Empower AI. The transformation reflects the successful adoption of the Empower AI Platform across federal defense, civilian and health care agencies, and leverages Empower AI’s all-inclusive AI-as-a-Service (AIaaS) approach. “Empower AI is declaring what we know to be true: AI is the most transformative technology of this era,” said Paul A. Dillahay, president and CEO of the new Empower AI. “AI represents the single biggest opportunity to enhance productivity of the federal workforce. By aggregating and synthesizing data quickly and more effectively with AI, we can elevate mission success for every government agency.” According to December 2021 research from Deloitte, 92% of federal agency leaders believe AI is important to their mission outcomes but the lack of technology supporting artificial intelligence is the top barrier to taking advantage of it. With nearly half of mature government organizations still beginners at AI, according to the same study, Empower AI’s AIaaS model makes government adoption easier by reducing risk and focusing on the “human development” aspects through integrated development, implementation, maintenance, and performance services at a fixed, inclusive cost. Empower AI Platform built for the government ecosystem The company’s flagship product, the Empower AI Platform, introduced in 2020 and continuously enriched, is built on decades of mission experience and tailored specifically for government challenges. The platform gives government agency customers the insights and tools necessary to make critical decisions faster. “Our deep knowledge and understanding of our federal clients featured prominently in the development of the Empower AI Platform,” Dillahay said. “We designed it specifically for the unique ways in which government works, and in accordance with its strict requirements for security and transparency.” The platform’s components include an AI framework, hyper-automation tools, and digital assistant: Empower AI Works: A suite of hyper-automation tools helps shift focus to the most impactful work by automating time consuming tasks with AI, without the need for human intervention. Empower AI Advises: A side-by-side AI assistant that accelerates human decision-making and increases productivity. Empower AI Leads: A comprehensive AI management system that equips mission leaders to make better, faster decisions and achieve meaningful digital evolution through a unique and streamlined view of objectives, projects and tasks updated in real-time as work is accomplished. Empower AI’s commitment to the transformative power of AI has already yielded results. The company has secured more than $1.5 billion in AI-enabled work and more than 75% of its customers have implemented the Empower AI Platform to recognize the exponential effectiveness of their AI-enabled workforce. About Empower AI Empower AI is AI for government. Empower AI gives federal agency leaders the tools to elevate the potential of their workforce with a direct path for meaningful transformation. Headquartered in Reston, Va., Empower AI leverages three decades of mission experience solving complex challenges in Health, Defense, and Civilian missions. Their proven Empower AI Platform provides a practical, sustainable path for clients to achieve transformation that is true to who they are, what they do, and how they work, with the resources they have. The result is a government workforce that is exponentially more creative and productive.

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GENERAL AI

SoftWorks AI Rebrands as TRUE and Answers Need for Lending Intelligence

TRUE | June 23, 2022

SoftWorks AI, the leader in lending intelligence, today launched an extensive rebrand, including changing its name to TRUE. The new name reflects the company’s unique ability to give lenders a true picture of a borrower by using AI to inspect and audit every data point when verifying a loan and its underlying documentation. By providing deeper, more comprehensive, and more accurate insights on borrowers, TRUE allows lenders to gain market share by enabling faster turn times and reducing risk. TRUE’s new name and logo demonstrate how the company harnesses the power of AI to turn lending – especially in the mortgage space – into a near real-time experience. While other vendors need humans in the loop to get data right, TRUE’s platform accurately analyzes every data point in a loan package automatically. TRUE’s technology can reduce manual reviews by up to 85% and has increased underwriter productivity by up to 300%. The lending industry has long been focused on automation, with an end-state goal of touchless automation. This can only be achieved with lending intelligence, which uses AI to ensure all data going into the automation process is 100% correct and verify that every extrapolated insight is accurate and provably true. The TRUE brand is focused on using cutting-edge technology to find what is true, a process the company calls Lending Intelligence. “TRUE uses AI to help lenders address customers’ most important expectations – speed, accuracy and reduced risk. “We are an AI lab focused executively on the lending sector and our AI platform is fully trained to address the challenges and nuances of lending. TRUE optimizes every step of the lending cycle, efficiently delivering critical information so our clients can get a full picture of their risk exposure. By providing a fast, thorough, and explainable analysis of every last data point, we reduce errors and improve decisioning, powering trustworthy lending.” Ari Gross, CEO of TRUE TRUE is transforming both the primary and secondary lending markets with technology that reads documents chronologically and holistically, going far beyond generic data classification that misses important details and nuances – and results in costly bad decisions. By ensuring that loan documents tell a consistent and coherent story and that all documents are cross-validated, TRUE enables lenders to get a holistic view of lending risk while delivering greater certainty to customers. The company currently serves major institutions from across the lending industry including Rocket Mortgage, Carrington, and 50% of the top mortgage insurers. TRUE processes millions of loans and billions of documents through its AI powered lending technology annually. About TRUE TRUE is a software solutions company and AI lab that helps lenders harness the power of artificial intelligence to make accurately informed lending decisions – increasing revenue while reducing operating costs and risk. Since 2017, it has set the industry standard for intelligent lending technology, delivering results that provide a true competitive advantage.

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GENERAL AI

PyTorch Lightning Creator, Lightning AI, Launches Open-Source Platform and Raises $40 Million Series B to Reinvent the Way AI is Built

Lightning AI | June 18, 2022

Lightning AI today unveiled the groundbreaking Lightning AI platform, backed by a $40 million Series B funding round, that completely reimagines how Artificial Intelligence (AI) products, services, and experiences are built. With Lightning AI’s new platform and framework, the company is introducing a frictionless way to build AI-powered products and services as apps composed of modular components that are seamlessly integrated and connected. Serving as the “operating system for AI,” Lightning AI’s platform ushers in a new era of accessibility and sophistication in the field of AI technology. The platform and underlying framework introduce a novel way to build AI by providing a unified experience that accelerates the deployment of AI technology across academic and enterprise use cases. Amid a fragmented machine learning ecosystem, Lightning AI’s suite of extensible open-source components and apps simplifies the underserved space and helps advance the widespread adoption of AI technology. “Launching this platform is a vital step for our company and the industry. “From day one, I wanted to reimagine the experience of building artificial intelligence beyond the current surfeit of tools and systems. Until now, there hasn’t been a way to build production-grade AI apps that takes into account the entire pipeline from development to production. Current options are limiting, highly prescriptive, and lack the flexibility needed to leverage AI in real-world scenarios. Imagine wanting to make a phone call and you’re simply handed the disparate parts that make up a working telephone, hoping that one day you’ll be able to make a phone call. Lightning AI takes the principles that have made PyTorch Lightning one of the fastest-growing open-source projects in history - simplicity, modularity, and sustainability - and applies them to the task of unifying the entire AI development and infrastructure lifecycle.” William Falcon, Lightning AI co-founder and CEO Lightning AI is the culmination of work that began in 2018 at the New York University CILVR Lab (Computational Intelligence, Learning, Vision, and Robotics) and Facebook AI Research. As a Ph.D. student working alongside advisers Kyunghyun Cho and Yann LeCun, William Falcon created and open-sourced the popular PyTorch Lightning framework. The explosive growth of the project within the AI community led Falcon to build a platform and company focused on eliminating barriers to widespread AI adoption. Grounded in the success of the PyTorch Lightning framework, the company built Grid, a platform for developing and training machine learning models on the cloud. The key to the company’s previous successes has been its unique ability to abstract away engineering infrastructure from the machine learning lifecycle while maintaining rigorous flexibility for experts who want full control over what they’re building. The Lightning AI platform and framework are powered by these groundbreaking advancements, enabling users to conceptualize, build, and deploy AI technology in a matter of weeks, compared to the months and years it would normally take. "We are excited about the development Lightning AI is leading by allowing AI-driven applications relevant to specific verticals come to life in a simple way. The partnership will bring further ease-of-use to customers and fit well with AWS’s industry, use-case and business problem driven approach,” said Dr. Kristof Schum, Global Segment Leader of Machine Learning at Amazon Web Services. $40M Series B Fuels Lightning AI Platform and Community Growth This $40 million Series B funding round, led by Coatue with participation from Index, Bain, First Minute Capital, and the Chainsmokers’ Mantis VC, brings the total raised to date to $58.6 million. Coatue General Partner Caryn Marooney has joined the board of directors, which also includes Index Ventures Partner Bryan Offutt. The capital will fuel further technology innovation, fund new AI research, and be invested back in the company’s growing user community and ecosystem. Lightning AI’s mission is to lower the barriers to AI adoption as the global AI market is skyrocketing and on track to exceed $500 billion by 2024. “As more companies across every sector leverage AI for crucial functions, they need a solution that makes it simple to consume, train, and use AI while also building applications free from vendor lock-in and specialized AI experts,” said Caryn Marooney, General Partner, Coatue. “Coatue immediately saw the potential and significance of Lightning AI’s mission to democratize AI. We look forward to supporting William and his team as they write a new playbook for AI deployment.” The Lightning-Fast Way to Build AI Apps Lightning AI allows researchers, data scientists, and software engineers to build, share and iterate on highly scalable, production-ready AI apps using the tools and technologies of their choice, regardless of their expertise. To solve any kind of AI problem from research to deployment and production-ready pipelines, users can simply group components of their choice into a Lightning App and customize the underlying code as needed. Lightning Apps can then be republished back into the community for future use, or kept private in users’ personal libraries. Lightning AI combines a wide variety of extant tools into a modular, intuitive platform for building AI applications in research, enterprise and personal contexts. It is the foundation of the growing Lightning ecosystem, which provides developers with a suite of ready-to-use tools and required infrastructure and compute resources, as well as community support for building AI applications. The Lightning AI platform is available now and includes: The new Lightning framework, which extends PyTorch Lightning’s simple, modular, and flexible design principles to the entire app development process A collection of tools and functionalities relevant to machine learning, including workflow scheduling for distributed computing, infrastructure-as-code, and connecting web UIs A gallery of AI apps, curated by the Lightning team, which can be used instantly or further built upon A library of components that add functionalities to users’ apps, such as extracting data from streaming video A hosting platform for running and maintaining private and public AI apps on the cloud The ability to build and run Lightning Apps on private cloud infrastructure or in an on-prem enterprise environment About Lightning AI Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, William Falcon launched Lightning AI to reshape the development of artificial intelligence products for commercial and academic use. Focusing on simplicity, sustainability, modularity, and extensibility, Lightning AI streamlines the lifecycle of machine learning development to expand widespread AI adoption. Its aim is to enable individual and enterprise users to build deployment-ready AI tools without having to hire experts or sink resources into in-house infrastructure.

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GENERAL AI

Cogito Announces Updates to Emotion AI Software on Salesforce AppExchange, the World's Leading Enterprise Cloud Marketplace

Cogito | June 15, 2022

Cogito, the leader in real-time coaching and guidance for the enterprise, today announced it has updated its Emotion AI software on Salesforce AppExchange, providing customers new ways to add real-time coaching and guidance cues to the Salesforce Lightning Experience, and to incorporate personalized coaching plans into Service Cloud Workforce Engagement. This integration creates a unified desktop, giving agents more freedom to navigate customer calls without the distraction of multiple tools and systems. Cogito's Emotion AI software extracts over 200 signals from every call, applying AI models that generate real-time cues. The in-the-moment guidance helps agents handle complex interactions, generate personalized coaching recommendations and provides supervisors visibility into agents working from anywhere, including alerts on frustrated callers or burned out representatives. Available on Salesforce AppExchange since 2017, the latest integration provides users a way to generate more informed and more cohesive call experiences. The latest enhancements are designed to further arm agents with real-time support and allow supervisors to manage the workforce more effectively, improving the well-being of employees and customer experiences. “The modern contact center needs more real-time support and insights to enable better conversations, better work experiences and better outcomes at enterprise scale. “We’ve brought together some of the best minds in behavioral science, machine learning, and enterprise technology to create an AI solution that provides real-time emotional intelligence, and offers the right interventions to lift entire customer-facing organizations up. I’m thrilled our team can now offer the enhanced product capabilities seamlessly through the Salesforce Service Cloud integration to better support organizations navigating customer interactions.” Josh Feast, CEO and co-founder of Cogito “We are excited that Cogito is continuing to innovate on AppExchange as they extend the scope of agent well-being to the tools and systems supporting the user experience. Agents should have coaching guidance and customer data in one place to improve the employee experience in tandem with the customer experience," said Woodson Martin, GM of Salesforce AppExchange. "AppExchange is constantly evolving to meet the needs of our customers, and we love watching our partners evolve alongside us." About Salesforce AppExchange Salesforce AppExchange, the world’s leading enterprise cloud marketplace, empowers companies, developers and entrepreneurs to build, market and grow in entirely new ways. With more than 7,000 listings, 10 million customer installs and 117,000 peer reviews, AppExchange connects customers of all sizes and across industries to ready-to-install or customizable apps and Salesforce-certified consultants to solve any business challenge. About Cogito Cogito innovates emotion AI and conversation AI, combining them to provide contact center teams and other frontline customer support professionals insights into not only what is being said but how things are said in phone conversations. Cogito features powerful behavioral and lexical models that provide real-time coaching and guidance to call center agents and sellers, gives front-line supervisors visibility into live conversations of their teams working from anywhere, and continuously monitors customer sentiment. Cogito is used by the largest contact centers including 8 of the Fortune 25, to improve customer conversations and employee well-being. Founded in 2007, Cogito is a venture-backed software company located in Boston, MA.

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Spotlight

The smooth and efficient running of the Procure to Pay (P2P) process is the sign of an optimized process. It points to a well-operated iProcurement system with good content, a compliant user community, and receipting that does not need prompting. However, many organizations struggle with their P2P processes. Read on to learn more about how you can get to a happy nirvana in your P2P environment. What are you measuring? If you are in IT, you are probably measuring system availability. If you are in finance, you are probably measuring procurement savings. If you are in procurement, you may not be measuring anything at all.

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