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 ...

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

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

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 ...

Siemens tests a Humanoid robot with Nvidia technology in a live factory trial in Germany, putting autonomous logistics work ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

UK managed cloud provider BlackBox Hosting explains why it chose Everpure's all-flash storage to underpin a sovereign cloud ...

Inductive Automation and Tiger Data, the creators of TimescaleDB, today announced a strategic alliance to modernize the industrial historian market. The collaboration brings together two platforms ...

Learn how to build strong basics for IBPS SO exam with clear concepts, subject-wise strategy, and smart study tips to improve ...

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.