On the subject of GreenOps, Tomicevic thinks simplistic anti-cloud arguments miss the point and believes graph technology deserves its own green spotlight – he writes as follows… It’s no secret that ...

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?

AI’s next leap won’t come from bigger models or longer context windows, but from better-organized knowledge.

Central to Collate’s new capabilities is the launch of AI Studio , which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

Data strategy competitive advantage depends on a proprietary knowledge base of internal and external data powering predictive models.

A sweeping new study from Northwestern University reveals that scientific fraud is no longer just the work of a few rogue researchers—it has evolved into a global, organized enterprise. By analyzing ...

Companies on this list are wonderful examples of how their products expand the power of KM in changing knowledge environments. They stand out in the KM field, and we applaud their accomplishments. As ...

Our 1-person SOC from Down Under explains how Microsoft Sentinel has rapidly evolved from its 2019 launch to become a leading cloud-based SIEM solution, now featuring advanced capabilities like graph ...

Overview: Big data analytics helps turn massive amounts of big data into useful insights for better decision-making.Processes ...

In 2026, the teams that win prioritise signal depth, operational integration, and contextual engagement over raw contact volume.