Databases are used in many different settings, for different purposes. For example, libraries use databases to keep track of which books are available and which are out on loan. Schools may use ...

As workflows evolve into collaborations between humans and AI agents, traditional user experiences based on forms, dashboards ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

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 ...

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.

Microsoft Threat Intelligence presents a comprehensive analysis of The Gentlemen, a Go-based ransomware deployed by ...

Increased to $5.84 billion, reflecting 31% year-over-year growth. Snowflake Intelligence adoption -- Accounts using Snowflake ...

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...

I’ve spent a lot of time inside enterprise AI deployments, and one thing that has become clear is that IT departments are leading the charge. Of course, enterprises are starting to consolidate ...

You don't need to fear imported spreadsheets anymore.

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...