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?

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

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 ...

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

Here, Khan outlines four moves that organizations must make right now to get AI-ready. 1. Embrace hybrid cloud without marginalizing data. Despite years of cloud migration, many enterprises still aren ...

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

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 ...

Dozens of states across the country together gave more than $380 million in Medicaid funds to medical providers who were later caught defrauding the federally funded program, and in many cases, after ...