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

SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...

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

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.

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

Snowflake delivers agentic AI for both business users and builders on a single platform with Snowflake Intelligence and ...

ALEXANDRIA, Va., April 22, 2026 /PRNewswire/ -- pgEdge, the leading open-source enterprise Postgres company, today announced ...

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.

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

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from ...

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.

While agentic AI tools can offer profound efficiency gains, they also present new risks that need to be effectively managed.