mcp_ohmy_sql is an open-source Text-to-SQL system developed for deployment in enterprise production. It is not about specific features as much as about integration, scale and reliability: It supports ...

AI systems need humans to guide them with the unique enterprise history, policies, changes, and institutional knowledge ...

In this article, authors discuss Model Context Protocol (MCP), an open standard designed to connect AI agents with tools and data they need. They also talk about how MCP empowers agent development, ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Overview:  DataOps shortens the gap between business questions and reliable answers, enabling real-time decisions instead of delayed reports.Core practices ...

Global enterprises Block and GlaxoSmithKline (GSK) are exploring AI agent proof of concepts in financial services and drug ...

Enterprises competing in an AI marketplace can't afford to be stalled by security and sovereignty challenges. They need turnkey, sovereign data and AI solutions that can bridge the gap between their ...

Google's new agents aren't chatbots. They're autonomous problem-solvers for the enterprise. Here's how they integrate with BigQuery, Spanner, and Gemini to transform analytics, coding, and ...

Businesses can integrate blockchain and decentralized compute to manage data while limiting hallucinations, boosting trust, and shaping the future of enterprise AI.

The two companies’ data science platforms have become core components for many CIOs who are focused on leveraging organizational data to drive AI deployments, as the market for similar tools rapidly ...