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Premiering November 19 VentureBeat is proud to announce the launch of its new flagship podcast, Beyond the Pilot: Enterprise AI in Action, premiering November 19 and brought to you by our anchor sponsor, Outshift by Cisco. Enterprise AI has reached a new inflection point: workloads are going live, and the constraints are getting real.
It has started to get really wintry here in London over the last few days. The mornings are frosty, the wind is biting, and it’s already dark by the time I pick my kids up from school.
One of the dominant storylines I’ve been following through 2025 is electricity—where and how demand is going up, how much it costs, and how this all intersects with that topic everyone is talking about: AI. Last week, the International Energy Agency released the latest version of the World Energy Outlook, the annual report that takes….
Choosing the right thermal binoculars is essential for security professionals and outdoor specialists who need reliable long-range detection. Many users who previously relied on the market’s best night vision binoculars now seek advanced thermal imaging for superior clarity, extended range, and weather-independent performance.
Many organisations are trying to update their infrastructure to improve efficiency and manage rising costs. But the path is rarely simple.
Digital resilience—the ability to prevent, withstand, and recover from digital disruptions—has long been a strategic priority for enterprises. With the rise of agentic AI, the urgency for robust resilience is greater than ever.
ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra Product announced today, extends the company’s existing automation capabilities to address a growing need for efficient GPU utilization, predictable performance, and reduced operational burden in large-scale AI deployments.
Everything is a conspiracy theory now. MIT Technology Review’s series, “The New Conspiracy Age,” explores how this moment is changing science and technology.
OpenAI has introduced group chats inside ChatGPT, giving people a way to bring up to 20 others into a shared conversation with the chatbot. The feature is now available to all logged-in users after a short pilot earlier this month, and it shifts ChatGPT from a mostly one-on-one tool to something that supports small-group collaboration.
Presented by AudioEye In 2020, a blind customer named Juan Alcazar filed a lawsuit against Fashion Nova, alleging that the company’s website was inaccessible and denied blind customers the same access as everyone else. It was, in many ways, an ordinary web accessibility lawsuit.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Three things to know about the future of electricity The International Energy Agency recently released the latest version of the World Energy Outlook, the annual report that takes stock of the current state….
Google today unveiled Gemini 3, a major upgrade to its flagship multimodal model. The firm says the new model is better at reasoning, has more fluid multimodal capabilities (the ability to work across voice, text or images), and will work like an agent.
Training an AI model to predict equipment failures is an engineering achievement. But it’s not until prediction meets action—the moment that model successfully flags a malfunctioning machine—that true business transformation occurs.
Manufacturing is getting a major system upgrade. As AI amplifies existing technologies—like digital twins, the cloud, edge computing, and the industrial internet of things (IIoT)—it is enabling factory operations teams to shift from reactive, isolated problem-solving to proactive, systemwide optimization.
Over half of us now use AI to search the web, yet the stubbornly low data accuracy of common tools creates new business risks. While generative AI (GenAI) offers undeniable efficiency gains, a new investigation highlights a disparity between user trust and technical accuracy that poses specific risks to corporate compliance, legal standing, and financial […] The post AI web search risks: Mitigating business data accuracy threats appeared first on AI News.
By 2027, half of all business decisions will be augmented or automated by AI agents for decision intelligence. This seismic shift is changing how organisations operate, and AI leaders are under pressure to adapt, innovate, and guide their teams through complexity.
We’re all chasing talent. It’s become as crucial to success as building amazing products, and a lot of businesses are feeling the squeeze.
Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using reinforcement learning (RL) to train large language model (LLM) agents. The framework, DreamGym, simulates an RL environment to train agents for complex applications.
Fetch AI, a startup founded and led by former DeepMind founding investor, Humayun Sheikh, on Wednesday announced the release of three interconnected products designed to provide the trust, coordination, and interoperability needed for large-scale AI agent ecosystems. The launch includes ASI:One, a personal-AI orchestration platform; Fetch Business, a verification and discovery portal for brand agents; and Agentverse, an open directory hosting more than two million agents.
Enterprise AI deployment has been facing a fundamental tension: organisations need sophisticated language models but baulk at the infrastructure costs and energy consumption of frontier systems.’s recent launch of tsuzumi 2, a lightweight large language model (LLM) running on a single GPU, demonstrates how businesses are resolving this constraint—with early deployments showing performance matching larger […] The post Lightweight LLM powers Japanese enterprise AI deployments appeared fi.