Teradata today announced that Teradata AI Unlimited is now available for public preview through the Microsoft Fabric Workload Hub. Microsoft Fabric Workload Hub allows customers to discover and add new ISV offered capabilities to their Fabric environment. AI Unlimited in Microsoft Fabric is a serverless compute engine that was designed to speed up Trusted AI innovations delivered at enterprise scale.
Teradata AI Unlimited in Microsoft Fabric is Now Available for Public Preview through Microsoft Fabric Workload Hub
November 19, 2024 by
Pure Storage Introduces New GenAI Pod to Accelerate AI Innovation
November 18, 2024 by
Pure Storage® (NYSE: PSTG), the IT pioneer that delivers the world’s most advanced data storage technology and services, today announced the expansion of its AI solutions with the new Pure Storage GenAI Pod, a full-stack solution providing turnkey designs built on the Pure Storage platform.
The Role of AI in Customizing the Driving Experience
November 4, 2024 by
In this contributed article, Boaz Mizrachi, Co-Founder and CTO of Tactile Mobility, discusses how AI and machine learning are redefining the driving experience by personalizing every aspect of vehicle interaction, from tailored comfort settings to predictive maintenance. These technologies enable cars to adapt in real time to driver preferences and behaviors, making driving more intuitive, enjoyable, and safe.
Report: Acrolinx Surveys Forbes 2000 Enterprises on Attitudes Toward AI Related to Use, Risk, and Regulation
October 21, 2024 by
Acrolinx, the AI-powered content governance software provider, sought to discover where current enterprise attitudes towards AI stand. Today, the company released its report “Generative AI in Business: A Snapshot of Enterprise Use, Risk, and Regulation.”
Industry Leaders Call for House of Representatives to Draw Better Distinction Between AI Players Across Legislative Frameworks
October 18, 2024 by
A group of AI integration industry leaders submitted a joint letter to the US House of Representatives Artificial Intelligence Task Force calling upon them to redefine roles and responsibilities for AI actors across the value chain. The letter was submitted to the House of Representatives leadership by Alteryx, Salesforce, Twilio, Box, Kyndryl, and Peraton.
Report: The Essential Role of Governance in Mitigating AI Risk
October 17, 2024 by
Prove AI just closed a survey of 600+ CEOs, CIOs, and CTOs on the state of AI – “The Essential Role of Governance in Mitigating AI Risk.” Big picture, executives are weighing AI’s promised benefits over its proven risks, for now, at least.
At 2024 AI Hardware & Edge AI Summit: Arun Nandi, Head of Data & Analytics, Unilever
October 16, 2024 by
At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Arun Nandi, Head of Data & Analytics, Unilever, a large Fortune 500 consumer goods company with a presence in 190 countries.
How to Balance Top-Down Decision-Making and Bottom-Up Innovation for Enterprise AI Adoption
October 10, 2024 by
In this contributed article, Molly Lebowitz, Senior Director, Propeller, believes that for successful enterprise AI adoption, leaders must balance top-down decision-making with grassroots experimentation. A centralized engine to link the two will allow organizations to prioritize and centralize around high-value AI use cases while surfacing innovative new uses for AI.
Proscia Launches Concentriq Embeddings and Developer Toolkit to Unleash Pathology AI Development
October 3, 2024 by
Proscia®, a global leader in AI-enabled pathology solutions for precision medicine, today announced the launch of Concentriq® Embeddings and the Proscia AI Toolkit, enabling life sciences organizations to accelerate the discovery and development of novel therapies and diagnostics.
Team Led by UMass Amherst Debunks Research Showing Facebook’s News-Feed Algorithm Curbs Election Misinformation
October 2, 2024 by
An interdisciplinary team of researchers led by the University of Massachusetts Amherst recently published work in the prestigious journal Science calling into question the conclusions of a widely reported study — published in Science in 2023 and funded by Meta — finding the social platform’s algorithms successfully filtered out untrustworthy news surrounding the 2020 election and were not major drivers of misinformation.
