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

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

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 ...

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

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 ...

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 ...

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 ...

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 ...

In today’s rapidly evolving corporate landscape, environmental, social, and governance (ESG) reporting has become a focal point for organizations aiming to demonstrate their commitment to ...

In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants ...

Entity relationship diagram (ERD) is one of the most widely used technique for data modeling. An ERD developed during the conceptual data modeling phase of the database development process is ...