Teradata AI Unlimited in Microsoft Fabric is Now Available for Public Preview through Microsoft Fabric Workload Hub

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.

Pure Storage Introduces New GenAI Pod to Accelerate AI Innovation

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.

Report: Acrolinx Surveys Forbes 2000 Enterprises on Attitudes Toward AI Related to Use, Risk, and Regulation

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.”

Report: The Essential Role of Governance in Mitigating AI Risk

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.

How to Balance Top-Down Decision-Making and Bottom-Up Innovation for Enterprise AI Adoption

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.

Lenovo Accelerates Smarter AI for All with New AI Solutions that Save Energy, Speed Deployment and Fast-Track AI Use Cases for Every Industry 

Lenovo unveiled new comprehensive enterprise AI solutions designed to help any company develop and deploy AI with turnkey services, business-ready vertical solutions and energy efficient innovations designed to accelerate the practical application of AI.

How Feature Stores will revolutionize Enterprise AI

In this contributed article, Monte Zweben, CEO and co-founder of Splice Machine, discusses Feature Stores which are a new MLOps technology being adopted by cutting-edge companies like Uber, Airbnb, and Netflix, and for good reason. A Feature Store is a system made specifically to automate the input, tracking, and governance of data into machine learning models.

Scylla Summit 2019 Comes to San Francisco in November

Scylla community members are invited November 5-6 to Scylla Summit 2019 in San Francisco. Use discount code InsideBigData50 to save 50% on a 2-day summit pass. “See us unveil our latest features, including Lightweight Transactions and Change Data Capture, learn about product-ready capabilities beyond what’s available in Cassandra, like Workload Prioritization, Materialized Views and Global Secondary Indexes, and get a preview of Project Alternator, our open source DynamoDB-compatible API.”

Why You Need a Modern Infrastructure to Accelerate AI and ML Workloads

Recent years have seen a boom in the generation of data from a variety of sources: connected devices, IoT, analytics, healthcare, smartphones, and much more. This data management problem is particularly acute in the areas of Artificial Intelligence (AI) and Machine Learning (ML) workloads. This guest article from WekaIO highlights why focusing on optimizing infrastructure can spur machine learning workloads and AI success.

How Hadoop Can Help Your Business Manage Big Data

Hadoop. Once largely unknown, hit the scene in part due to the explosion of unstructured data. Download the new white paper, “Making the Most of Your Investment in Hadoop,” through which SQREAM explores an approach to Hadoop that aims to help businesses reduce time-to-insight, increase productivity, empower data teams for better decision making, and increase revenue.