The need for high-quality, trustworthy data in our world will never go away. With the growth in data, the need arises more than ever before. Even though we have evolved f...
In Part 1 of the blog series on building a value-driven data strategy, I discussed the challenges associated with framing the data strategy process as a deliverable. A Da...
In the previous post, we discussed causal AI applicationsIn this post, we discuss how to develop such applicationsThe post is based on the causalnex library which we have...
When XML was first introduced, the W3C XML Working Group took a very unusual step: They created a language for transformations. This effort is now leading to a re-emergen...
Ontology Hack – Make Use of Existing Enterprise Data Assets Instead of Starting from Scratch As an author of a (reasonably) popular book, I often get asked question...
As 2022 starts, it’s time to ponder how our lives will change in the years ahead, thanks to the multitude of technologies available to us. Here’s a look at ho...
By 2030, oil & gas plays across the United States are expected to produce over 60 million barrels of water every day. Most of this water is characterized by high Tota...
With great power comes even greater responsibility: AI responsibility to be specific. Organizations, regulators, and data practitioners can all get behind the concept of ...
Announcements Building a successful data architecture strategy continues to challenge businesses as data management growth and innovation continues through 2022. Discover...
In my previous article, I discussed Waterfall, WaterScrumFall, big-A Agile, and business agility. Dissonance abounds among organizations struggling to transition th...