Across industries, rising compute expenses are often cited as a barrier to AI adoption — but leading companies are finding that cost is no longer the real constraint. The tougher challenges (and the ones top of mind for many tech leaders)? Latency, flexibility and capacity. At Wonder, for instance, AI adds a mere few centers …
By now, enterprises understand that retrieval augmented generation (RAG) allows applications and agents to find the best, most grounded information for queries. However, typical RAG setups could be an engineering challenge and also exhibit undesirable traits. To help solve this, Google released the File Search Tool on the Gemini API, a fully managed RAG system …
Why Google’s File Search could displace DIY RAG stacks in the enterprise Read More »
Even as concern and skepticism grows over U.S. AI startup OpenAI’s buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even caught up to OpenAI’s flagship, paid proprietary model GPT-5 in key third-party performance benchmarks with a new, free model. The Chinese AI startup Moonshot AI’s …
Integrating AI models directly into extended detection and response (XDR) platforms is delivering breakthrough improvements in SOC investigation speed and accuracy. In an exclusive interview with VentureBeat, eSentire revealed that deploying Anthropic’s Claude across their Atlas XDR Platform compresses comprehensive threat investigations from five hours to seven minutes, delivering a 43x speed improvement, while matching …
How Anthropic’s Claude cuts SOC investigation time from 5 hours to 7 minutes Read More »
Presented by Salesforce Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it’s not cut out for building production-ready business apps with the security, governance, and trusted infrastructure that enterprises require. In other words, …
From prototype to production: What vibe coding tools must fix for enterprise adoption Read More »
Presented by Arm AI is no longer confined to the cloud or data centers. Increasingly, it’s running directly where data is created — in devices, sensors, and networks at the edge. This shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting as they continue their investments in …
The compute rethink: Scaling AI where data lives, at the edge Read More »
Google Cloud is introducing what it calls its most powerful artificial intelligence infrastructure to date, unveiling a seventh-generation Tensor Processing Unit and expanded Arm-based computing options designed to meet surging demand for AI model deployment — what the company characterizes as a fundamental industry shift from training models to serving them to billions of users. …
The latest big headline in AI isn’t model size or multimodality — it’s the capacity crunch. At VentureBeat’s latest AI Impact stop in NYC, Val Bercovici, chief AI officer at WEKA, joined Matt Marshall, VentureBeat CEO, to discuss what it really takes to scale AI amid rising latency, cloud lock-in, and runaway costs. Those forces, …
The march towards agentic enterprises continues as companies battle to keep developers on their platforms throughout the entire agent lifecycle. Google Cloud has updated its Agent Builder on Vertex AI, introducing additional governance tools for enterprises and expanding the capabilities for creating agents with just a few lines of code. Agent Builder, released last year …
Presented by Elastic Logs set to become the primary tool for finding the “why” in diagnosing network incidents Modern IT environments have a data problem: there’s too much of it. Organizations that need to manage a company’s environment are increasingly challenged to detect and diagnose issues in real-time, optimize performance, improve reliability, and ensure security …
From logs to insights: The AI breakthrough redefining observability Read More »