Category: AI Category


  • Enterprise artificial intelligence investment is unprecedented, with IDC projecting global spending on AI and GenAI to double to $631 billion by 2028. Yet beneath the impressive budget allocations and boardroom enthusiasm lies a troubling reality: most organisations struggle to translate their AI ambitions into operational success. The sobering statistics behind AI’s promise ModelOp’s 2025 AI…

  • Senator’s RISE Act would require AI developers to list training data, evaluation methods in exchange for ‘safe harbor’ from lawsuits

    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Amid an increasingly tense and destabilizing week for international news, it should not escape any technical decision-makers’ notice that some lawmakers in the U.S. Congress are still moving forward with new proposed…

  • MedTech AI, hardware, and clinical application programmes

    Modern healthcare innovations span AI, devices, software, images, and regulatory frameworks, all requiring stringent coordination. Generative AI arguably has the strongest transformative potential in healthcare technology programmes, with it already being applied across various domains, such as R&D, commercial operations, and supply chain management. Traditional models for medical appointments, like face-to-face appointments, and paper-based processes…

  • NVIDIA helps Germany lead Europe’s AI manufacturing race

    Germany and NVIDIA are building possibly the most ambitious European tech project of the decade: the continent’s first industrial AI cloud. NVIDIA has been on a European tour over the past month with CEO Jensen Huang charming audiences at London Tech Week before dazzling the crowds at Paris’s VivaTech. But it was his meeting with…

  • Red Team AI now to build safer, smarter models tomorrow

    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Editor’s note: Louis will lead an editorial roundtable on this topic at VB Transform this month. Register today. AI models are under siege. With 77% of enterprises already hit by adversarial model…

  • Meta’s new world model lets robots manipulate objects in environments they’ve never encountered before

    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical “common sense” to operate in dynamic, real-world environments. This has limited the deployment of…

  • Cloud collapse: Replit and LlamaIndex knocked offline by Google Cloud identity outage

    Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Days after OpenAI and Google Cloud announced a partnership to support the growing use of generative AI platforms, much of the AI-powered web and tools went down due to an outage of…

  • TensorWave deploys AMD Instinct MI355X GPUs in its cloud platform

    TensorWave, a leader in AMD-powered AI infrastructure solutions, today announced the deployment of AMD Instinct MI355X GPUs in its high-performance cloud platform. As one of the first cloud providers to bring the AMD Instinct MI355X to market, TensorWave enables customers to unlock next-level performance for the most demanding AI workloads—all with unmatched white-glove onboarding and…

  • AMD debuts AMD Instinct MI350 Series accelerator chips with 35X better inferencing

    AMD unveiled its comprehensive end-to-end integrated AI platform vision and introduced its open, scalable rack-scale AI infrastructure built on industry standards at its annual Advancing AI event. The Santa Clara, California-based chip maker announced its new AMD Instinct MI350 Series accelerators, which are four times faster on AI compute and 35 times faster on inferencing…

  • The rise of language models, and more specifically large language models (LLMs), has been of such a magnitude that it has permeated every aspect of modern AI applications — from chatbots and search engines to enterprise automation and coding assistants. Source link