Artificial intelligence has entered a phase that feels both inevitable and strangely precarious. The hype is unmistakable. So is the sense that we are still early — too early — for the broader ...

The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users now access critical systems from home offices, shared workspaces, ...

Whoa! For folks who’ve run a handful of nodes, validation can feel like a black-box ritual. My first instinct was to treat Bitcoin Core as sacred and opaque, but actually, wait—let me rephrase that: ...

Yes, let’s talk about data governance, that thing we love to hate. I just attended the 17th Annual Chief Data… ...

In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional data governance. And asked at times, could they just be data custodians.

In the early days of enterprise data and business systems, process modeling and data modeling went hand-in-hand. It was standard… ...

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even… ...

Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of… ...

For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...

I’m sure that you know an interesting story about dating. Finding that right person is not easy and the journey often ...

In the 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 ...

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 ...