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.

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

Forge 2025.3 adds AI Assistant to SQL Complete, supports SSMS 22, Visual Studio 2026, MySQL 9.5, MariaDB 12.2, and ...

A Solutions Architect explores the harsh realities of de-identifying sensitive data by creating custom scripts, including the ...

OpenAI, Google, and Moonshot AI are ushering in agentic AI systems that investigate, coordinate, and verify tasks beyond ...

Bernand Lambeau, the human half of a pair programming team, explains how he's using AI feature Bernard Lambeau, a ...

For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

As AI agents replace apps, we’re entering an Instruct/Verify era where software and hardware act on our behalf, reshaping ...

A recursive vibe journalism experiment in which Microsoft 365 Copilot's 'Prompt Coach' agent is used to wholly create an ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...