The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

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

Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

When data is productized and semantics encoded, you unlock agentic AI at scale. Instead of assistants, you get executors: ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Overview: MongoDB continues to power modern applications, but analytics requires structured, reliable pipelines.ETL tools ...

As part of CRN’s 100 Coolest Cloud Computing Companies of 2026, here’s a look at 20 innovative software companies that are ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI deployments. At the beginning of the modern generative AI era, purpose-built ...

Abstract: This article introduces a fully automated, continuous nonsingular terminal sliding mode (TSM) control technique to control uncertain, nonlinear, and time-varying second-order systems with ...