Category: AI Category


  • AI in manufacturing set to unleash new era of profit

    Manufacturing executives are wagering nearly half their modernisation budgets on AI, betting these systems will boost profit within two years. This aggressive capital allocation marks a definitive pivot. AI is now seen as the primary engine for financial performance. According to the Future-Ready Manufacturing Study 2025 by Tata Consultancy Services (TCS) and AWS, 88 percent…

  • Workspace Studio aims to solve the real agent problem: Getting employees to use them

    One problem enterprises face is getting employees to actually use the AI agents their dev teams have built.  Google, which has already shipped many AI tools through its Workspace apps, has made Google Workspace Studio generally available to give more employees access to design, manage and share AI agents, further democratizing agentic workflows. This puts…

  • Gemini 3 Pro scores 69% trust in blinded testing up from 16% for Gemini 2.5: The case for evaluating AI on real-world trust, not academic benchmarks

    Just a few short weeks ago, Google debuted its Gemini 3 model, claiming it scored a leadership position in multiple AI benchmarks. But the challenge with vendor-provided benchmarks is that they are just that — vendor-provided. A new vendor-neutral evaluation from Prolific, however, puts Gemini 3 at the top of the leaderboard. This isn't on…

  • Tariff turbulence exposes costly blind spots in supply chains and AI

    Presented by Celonis When tariff rates change overnight, companies have 48 hours to model alternatives and act before competitors secure the best options. At Celosphere 2025 in Munich, enterprises demonstrated how they’re turning that chaos into competitive advantage — with quantifiable results that separate winners from losers. Vinmar International: Theglobal plastics and chemicals distributor created…

  • Headless vs. native semantic layer: The architectural key to unlocking 90%+ text-to-SQL accuracy

    Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a Snowflake schema, asks "What is our revenue?", and watches as the model generates a syntactically perfect SQL query. It feels like…

  • New training method boosts AI multimodal reasoning with smaller, smarter datasets

    Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The framework uses a two-stage process. It first refines a base model with a curated dataset in a supervised fine-tuning (SFT) stage. Then, a reinforcement learning (RL) stage guides the…

  • AI has redefined the talent game. Here’s how leaders are responding.

    Presented by Indeed As AI continues to reshape how we work, organizations are rethinking what skills they need, how they hire, and how they retain talent. According to Indeed’s 2025 Tech Talent report, tech job postings are still down more than 30% from pre-pandemic highs, yet demand for AI expertise has never been greater. New…

  • HTB AI Range offers experiments in cyber-resilience training

    The cybersecurity training provider Hack The Box (HTB) has launched the HTB AI Range, designed to let organisations test autonomous AI security agents under realistic conditions, albeit with oversight from human cybersecurity professionals. Its goal is to help users assess how well AI, and mixed human–AI teams might defend infrastructure. Vulnerabilities in AI models add…

  • EY and NVIDIA to help companies test and deploy physical AI

    AI is moving deeper into the physical world, and EY is laying out a more structured way for companies to work with robots, drones, and other smart devices. The organisation is introducing a physical AI platform built with NVIDIA tools, opening a new EY.ai Lab in Georgia, and adding new leadership to guide its work…

  • What Anthropic’s Discovery Means for Enterprises

    For years, cybersecurity experts debated when—not if—artificial intelligence would cross the threshold from advisor to autonomous attacker. That theoretical milestone has arrived.  Anthropic’s recent investigation into a Chinese state-sponsored operation has documented the first case of AI-orchestrated cyberattacks executing at scale with minimal human oversight, fundamentally altering what enterprises must prepare for in the threat landscape ahead. The campaign,…