Use these official MCP servers to interact with the leading database platforms via natural language through your LLM-assisted ...

Power Query and Power Pivot help Excel users manage large datasets more efficiently. Power Query focuses on cleaning and preparing data, while Power Pivot handles analysis and reporting. Together, ...

Blockchain data tells a story, but only if you know how to read it. Every transaction, wallet movement, and smart-contract interaction leaves a public footprint that reveals how users, investors, and ...

The IT teams getting the most out of AI agents right now are the ones who did the unglamorous work of mapping their processes ...

AI systems inherit decades-old security flaws many organizations still fail to address consistently.

The announcements add built-in durability for Amazon ElastiCache for Valkey and a new bring-your-own-media option for Amazon ...

Open source BI adoption in 2026 is driven less by cost savings and more by the need for data ownership, deployment control, and the flexibility to integrate AI workflows without vendor dependency.

Cloud data warehouse Snowflake plans to spend $6 billion on Amazon’s custom Graviton CPUs and AI accelerators over the next five years. The collab aims to reduce friction in connecting Snowflake ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind the AI model to the logic of your app.

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.

Aventus shows how hands-on engineering leadership can accelerate fintech delivery while strengthening technical resilience.

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