The Data-Centric Revolution: Who Doesn’t Need Data-Centric?
Several years ago, as part of some strategic marketing, we decided to target certain companies and industries. The thinking was…
The Risk and Promise of AI
Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live.…
The End of Agile – Part 5 (Misapplications of Agile)
In the first article, I laid out the basic premise for this series: an examination of how Agile has gone…
The Art of Lean Governance: What We Can Learn from HAZMAT Professionals
The collapse of the Francis Scott Key bridge on March 26, 2024, was a tragic loss of life and disruption…
The Analytics Sandwich: Understanding the Business Value of Data and AI
In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm…
Harnessing the Potential of IoT Data
“Big data” refers to data sets that are so complex and large they cannot be analyzed or processed using traditional…
Eyes on Data: Improving ESG Reporting with Established Industry Standards
In today’s rapidly evolving corporate landscape, environmental, social, and governance (ESG) reporting has become a focal point for organizations aiming…
Six Data Quality Dimensions to Get Your Data AI-Ready
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language…
The End of Agile – Part 4 (Lessons from Agile)
In my first article, I laid out the basic premise for this series: an examination of how Agile has gone…
Data Speaks for Itself: Is Metadata Data?
Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why…