DataHub is introducing a new context intelligence layer that mines years of SQL query logs to help AI agents stop ...

Embedding pipelines are fundamentally a data engineering problem, not an entirely new AI discipline. It’s still ETL (Extract, ...

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 ...

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

AI Impact looks at how AI search is reshaping discovery, why IT services feels squeezed and what better context means for ...

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

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 ...

AI agents asking questions in natural language apparently issue a lot more queries than your average SQL jockey ...

What’s the difference between this and downright lying? Many people, Gen Zers in particular, have embraced the practice of ...

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