Distributed AI training coordinates data, parameters, activations, gradients, and optimizer state across many accelerators so ...

The 2027 planning season is right around the corner for enterprises, and AI investments are once again at the top of C-suite ...

Hello!Suddenly, to all university students aiming to be engineers and young engineers, are you still “developing by asking AI ...

Ensure data pipeline reliability and troubleshoot issues fast by using standard Python logging directly in BigQuery UDFs for real-time observability.

Google has replaced its long-standing Python type checker, Pytype, with Pyrefly, an open-source tool originally developed by Meta. The decision was driven by Pyrefly's advantages, including faster and ...

Explore how large enterprises build scalable data platforms using lakehouses, batch and streaming pipelines, data mesh, ...

Data readiness depends entirely on the specific decision, review, or workflow you're counting on artificial intelligence to ...

Streaming sensor data creates new challenges for advanced process control. “Shift left” improves yield by moving detection earlier. Fabs are using real-time equipment sensor data and AI/ML to identify ...

A new company has a plan to make the dirty gas turbines powering data centers more efficient: liquid carbon dioxide. American Supercritical came out of stealth Wednesday, announcing $8 million in ...

Data engineering teams routinely spend weeks standing up a single new data source: writing ETL, hand-writing quality checks, updating semantic models, and validating compliance. The Agentic Data ...

The European Space Agency’s HydroGNSS Scout mission has completed the commissioning phase and is now in full scientific operations. The mission was launched in November 2025 to observe key ...

As AI agents move from writing individual functions to owning end-to-end workflows, data teams face a harsh reality: general-purpose coding agents, regardless of their proficiency in Python or SQL, ...