When generative AI (GenAI) first arrived, I was in charge of a large team of data and machine learning engineers. We had built a full ML platform from scratch and had dozens of models in production ...

A VentureBeat survey of 101 enterprises found 68% traced a confident, wrong AI agent answer to bad context. Governed semantic ...

Enterprise investment in agentic artificial intelligence is accelerating, but the infrastructure supporting those systems is still catching up. Organizations are moving agents into customer support, ...

MongoDB's Ben Cefalo explains why the data layer is becoming the foundation of enterprise AI, the future of databases, application modernisation and hybrid cloud ...

LLMs became reliably good at writing SQL only six or nine months ago. Soon agents will handle boring data tasks, but automated insights will take longer.

McKinsey’s latest State of AI report revealed that 62% of organizations have started experimenting with AI agents in some form. However, Gartner expects over 40% of these projects to be scrapped by ...

OceanBase is betting that the database, not the data lake, is the right foundation for the AI data platform era, and is ...

This wave of VentureBeat Pulse Research examines the enterprise RAG and context layer: what feeds AI agents their business ...

The critical zero-day can provide direct SQL access to Metabase’s underlying database, potentially exposing credentials, API keys, and other sensitive data.

Cavern uses DNS A records to switch between direct HTTPS and Google Apps Script for C2, expanding an Iranian-linked toolkit ...