Google’s ATLAS study reveals how languages help each other in AI training, offering scaling laws and pairing insights for better multilingual models.

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

Google is embedding AI into Search, Gmail, Maps, and Gemini to simplify how people browse, create, and work online.

Google has renamed its open-source ZetaSQL project to GoogleSQL, unifying the branding for the SQL dialect, analysis, and parsing libraries.

Teradata (NYSE: TDC) today announced the availability of its foundational enterprise-grade Data Analyst AI agent on Google Cloud Marketplace, enabling organizations to integrate advanced analytics and ...

Explore a programming languages list with top coding languages explained, their uses, job prospects, and how to choose the ...

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

Overview AI hiring in India is rising as companies shift from testing AI to daily use.Skills like Python, Generative AI, and ...

What's Up Docker shows which Docker containers need updates, tracks versions, and lets you manage them safely through a ...

Learn how docker commit captures changes in a running container, make it persistent and create new images without altering ...

Cuts out the Azure middleman with multi-year deal for 'tighter alignment' Snowflake plans to spend as much as $200 million ...

In 2026, artificial intelligence skills sit on the short list for promotions in analytics, product, and operations. Teams want people who can frame the right problem, choose workable models, and ...