The most transformative promise of AI has always been its potential for autonomy, to create systems that can act intelligently on their own without human supervision. However, this kind of "Agentic AI ...

When agents move from merely reading data to acting on it, the enterprise attack surface expands exponentially. Without a ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...

The terminal is becoming agentic: Instead of only imperative commands, developers can state goals while the agent plans, calls tools, iterates, and asks for approval. Regardless of the vendor, most ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

Agentic AI has given rise to autonomous systems that learn, adapt, and even communicate with each other. Follow this page for coverage of its impact on work and ethics. Over the next few years, ...

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...

Forbes contributors publish independent expert analyses and insights. I help executives track and innovate against business disruptions. The narrative around AI in the workplace has often been ...

Autonomous, adaptable, and interconnected, agentic AI systems are both a productivity and a cybersecurity risk multiplier. To secure their activity, traditional security models might not be enough.