As GenAI usage increases in the corporate world, many executives will likely have to answer this question from their boards: ...

Roughly 80% of enterprise data sits in emails, contracts, call transcripts, and PDFs where traditional databases can't touch it. Much of this "unstructured" data isn't ignored because it lacks value, ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, the researcher and her team aim not only to gain insights, but also to build ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Teledata today announced Enterprise AgentStack, designed to help enterprises to move from isolated pilots to production-grade ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

Leaf Agriculture today announced the launch of LeafLake, a new product that brings data analysis to the forefront of Leaf's offering. LeafLake allows Leaf customers to easily perform sophisticated ...

Ketan Karkhanis explains how ThoughtSpot is building out an enterprise intelligence layer for smarter AI agents, which can ...

The next phase of AI needs fuel, here’s how to position yourself as a data refiner.

Discover the leading database management systems for enterprises in 2026. Explore key features, pricing, and implementation tips for selecting the best DBMS software to harness your data effectively.