Category: AI & Automation


  • Databricks research reveals that building better AI judges isn't just a technical concern, it's a people problem

    The intelligence of AI models isn't what's blocking enterprise deployments. It's the inability to define and measure quality in the first place. That's where AI judges are now playing an increasingly important role. In AI evaluation, a "judge" is an AI system that scores outputs from another AI system.  Judge Builder is Databricks' framework for…

  • Forget Fine-Tuning: SAP’s RPT-1 Brings Ready-to-Use AI for Business Tasks

    SAP aims to displace more general large language models with the release of its own foundational “tabular” model, which the company claims will reduce training requirements for enterprises.  The model, called SAP RPT-1, is a pre-trained model with business and enterprise knowledge out of the box. SAP calls it a Relational Foundation Model, meaning it…

  • Developers beware: Google’s Gemma model controversy exposes model lifecycle risks

    The recent controversy surrounding Google’s Gemma model has once again highlighted the dangers of using developer test models and the fleeting nature of model availability.  Google pulled its Gemma 3 model from AI Studio following a statement from Senator Marsha Blackburn (R-Tenn.) that the Gemma model willfully hallucinated falsehoods about her. Blackburn said the model…

  • Meet Denario, the AI ‘research assistant’ that is already getting its own papers published

    An international team of researchers has released an artificial intelligence system capable of autonomously conducting scientific research across multiple disciplines — generating papers from initial concept to publication-ready manuscript in approximately 30 minutes for about $4 each. The system, called Denario, can formulate research ideas, review existing literature, develop methodologies, write and execute code, create…

  • The beginning of the end of the transformer era? Neuro-symbolic AI startup AUI announces new funding at $750M valuation

    The buzzed-about but still stealthy New York City startup Augmented Intelligence Inc (AUI), which seeks to go beyond the popular "transformer" architecture used by most of today's LLMs such as ChatGPT and Gemini, has raised $20 million in a bridge SAFE round at a $750 million valuation cap, bringing its total funding to nearly $60…

  • Strengthening Our Core: Welcoming Karyne Levy as VentureBeat’s New Managing Editor

    I’m thrilled to announce a fantastic new addition to our leadership team: Karyne Levy is joining VentureBeat as our new Managing Editor. Today is her first day. Many of you may know Karyne from her most recent role as Deputy Managing Editor at TechCrunch, but her career is a highlight reel of veteran tech journalism.…

  • Workday Unveils 120+ AI Models to Transform Contract Analysis Efficiency

    In an era where efficiency is critical, small businesses often find themselves juggling multiple contracts across various departments. Enter Workday, a leader in enterprise AI solutions, which has just announced the launch of its Custom AI Model Library, enhancing its Contract Intelligence Agent. This new offering, boasting over 120 pre-built AI models, aims to simplify…

  • A Self-Setup AI Workspace for Team Productivity

    In an age where efficiency is paramount for small businesses, Dropbox has unveiled a game-changer: Dash, an AI-powered personalized workspace designed to streamline collaboration and enhance productivity. This innovative platform allows teams to access answers and tools without having to switch between multiple applications, saving valuable time and reducing the risk of miscommunication. With Dash,…

  • Organizations Face Major Mobile Security Risks

    As mobile devices become central to daily business operations, small business owners face a pressing cybersecurity dilemma. The latest findings from the Verizon 2025 Mobile Security Index (MSI) reveal that mobile attacks are surging, with 85% of organizations experiencing increased threats. This situation is compounded by employees using generative AI tools for work, escalating both…

  • Moving past speculation: How deterministic CPUs deliver predictable AI performance

    For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and superscalar execution had been in earlier decades. Each marked a generational leap in microarchitecture. By predicting the outcomes of branches and memory…