Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...

OpenAI is moving away from models that require heavy hand-holding and toward systems that can better infer the user’s goal, ...

The industry’s next phase may depend on the companies building its infrastructure, governance, security, and real-world ...

Enterprise AI cost reduction is within reach for most mid-market companies — but only if five structural cost drivers are ...

Learn why scalable AI needs balanced servers, storage, networking, and data access to support training, inference, and RAG at ...

Introduction Economic evidence on community health worker (CHW) programmes is crucial for scaling these initiatives. Although decision-analytic models (DAMs) are essential for projecting long-term ...

The artificial intelligence boom has reshaped the stock market over the past two years. Graphics processors grabbed the ...

As enterprises move from pilots to production, an AI Data Platform approach keeps data ready, governed, protected, and close ...

Anthropic reports 65% of its product team's code is AI-generated by Claude, a statistic often misinterpreted as broad ...

Agent Name Service would create a standardized way to verify identity and capabilities across enterprise AI systems.