Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

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 ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...

Snowflake Intelligence gains automation features, while Cortex Code will be able to access more data sources in more ways.

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

If you are a CIO or CISO evaluating an agentic AI platform, ask the same questions you would ask about any enterprise ...

This article explores how performance-focused code review works, what reviewers should look for, and how teams can prevent slowdowns long before users complain.

Claude beat ChatGPT in our reader poll, revealing how coding strength, workflow fit, and values are reshaping AI loyalty ...

For years, the cybersecurity industry has spoken about AI attacks in the future tense. We imagined sentient super-hackers dismantling firewalls with alien logic. The reality, as we are discovering in ...

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.

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.