Chief information security officers (CISOs) have increasingly incorporated cyber storage resilience into ...

Introduction: Picking Up the Quantum Thread In Part 1 of this two-part series, I confessed that this whole journey was ...

Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure ...

AI, and agentic AI. He brings strong technical expertise in designing and delivering scalable, high-impact solutions to address complex challenges. In his current role as principal architect at a ...

We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. The data warehouse, due ...

Agentic AI knows what it wants when it comes to enterprise storage. These autonomous, AI-driven agents can make their own… ...

Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but ...

It would be hard to imagine a data model that didn’t include persons, either as individuals or as groups. Models contain people in one of two ways: as organizational structures or as playing roles in ...

The quality of data used in business is more important now than ever before. Accordingly, in order for organizations to deliver good business results, their data must be accurate, and the use of that ...

Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of time before disaster strikes. Dirty data doesn’t just create inefficiencies, it drains resources at ...

All trademarks and registered trademarks appearing on DATAVERSITY.net are the property of their respective owners.

Peter Chen invented data modeling with his innovative way of showing data structures in terms of entities and relationships. For the first time, complex data could be modeled so it was understandable ...