Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

Name the hot buttons about generative artificial intelligence, and they often center around data. Concern over understanding the context of data stems from the need to ensure that AI models are ...

Zero-knowledge proofs enable firms to prove regulatory compliance without exposing sensitive data, aligning privacy with ...

Google is recasting its data and analytics portfolio as the Agentic Data Cloud, an architecture it says is aimed at moving enterprise AI from pilot to production by turning fragmented data into a ...

A modern data fabric makes it possible to turn existing enterprise knowledge into a trusted foundation for AI.

Sirjad Parakkat is the VP of Engineering for Ivanti, leading the IT Service Management, Lines of Business and Platinum Engineering Group. Too much of a good thing? That’s what it feels like when ...

At MWC 2026, Huawei released its AIDP. This platform integrates a knowledge base, KV cache acceleration, and a memory bank, and uses the Unified Cache Manager (UCM) to manage and schedule inference ...

For decades, enterprise data infrastructure focused on answering the question: “What happened in our business?” Business intelligence tools, data warehouses, and pipelines were built to surface ...

Artificial Intelligence is expanding rapidly, but it faces a significant barrier: data privacy. Companies hold massive amounts of valuable information but refuse to share it to train models due to ...

Rajiv Shesh is the Chief Revenue Officer at HCLSoftware where he leads revenue growth & customer advocacy for Products & Platforms division. What’s really powering AI? High-quality data—foundational ...