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.
The Model Context Protocol (MCP) has quickly become the open protocol that enables AI agents to connect securely to external tools, databases, and business systems. But this convenience comes with ...
Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...
January 2026 was a wake-up month for enterprise security teams. In a single week, CERT-In released three high-severity ...
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...
Clawdbot is a viral, self-hosted AI agent that builds its own tools and remembers everything—but its autonomy raises serious ...
Strip the types and hotwire the HTML—and triple check your package security while you are at it. JavaScript in 2026 is just ...
TwistedSifter on MSN
Developer accidentally deletes employer’s critical data, but manages to recover quickly, restoring data and avoiding more drama
That was close!
Ketan Karkhanis explains how ThoughtSpot is building out an enterprise intelligence layer for smarter AI agents, which can ...
New Odyssey and World Labs APIs turn text, images, and video into interactive simulations and explorable 3D worlds for gaming ...
Importing MySQL databases into FileMaker Pro offers a quick-start to the development of new workgroup solutions.
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