Google shared how its Gemini AI can help users plan budgets, track spending, and identify savings using simple prompts.

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.

Discover 10 top online IT certifications that boost tech job prospects and supercharge your tech career training with ...

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 ...

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

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

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

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