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 and 70% of organizations reporting minimal positive effect on ...

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 ...

In the age of algorithmic intelligence, data is no longer just an asset — it is a self-regulating system whose… ...

“AI is only as trustworthy as the data that fuels it.” This statement has never been more relevant. AI systems… ...

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

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 ...

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 ...

I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and wanna-be ontologists. I was flattered to be asked, but I really ...

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 Internet of Things (IoT) is changing industries by enabling real-time data collection and analysis from many connected devices. IoT applications rely heavily on real-time data streaming to drive ...