There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

Google launches AI agent suite at Cloud Next 2026 with Workspace Studio, A2A protocol at 150 orgs, and Project Mariner. The pitch: only Google owns the full stack.

OpenAI launches ChatGPT Images 2.0 with image editing, reasoning, web research, multilingual support, and better text ...

AI is uncovering decades-old software bugs at scale, forcing a race to patch vulnerabilities before attackers gain access to ...

Artemis has emerged from stealth with $70 million in combined seed and Series A funding led by Felicis. Almure has r ...

Oracle Corp. is extending its partnership with Google LLC’s Cloud to simplify how enterprise users interact with data, ...

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.

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure ...

Failed NEET 3 times? No JEE rank? No coding background? Read how Sanjay B. became a Data Scientist at Syngenta without a ...

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Corporations strategically control markets with open-source software. The community participates without realizing that the ...