Through the Looking Glass: More Metaphors and LLMs
Part I When I finished my last column, “Through the Looking Glass: Metaphors, MUNCH, and Large Language Models,” I stated…
Data Columns
Legal Issues for Data Professionals: Current Leading U.S. AI Laws
There is no nationwide federal law in the U.S. that specifically regulates the development, deployment, and use of AI in…
Data Is Risky Business: Scaling Data Governance to the National Stage
I recently started a doctorate. And because I obviously have too much free time after running my business, teaching, and writing…
The Data-Centric Revolution: Dealing with Data Complexity
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
Eyes on Data: Understanding Data Products and Their Role in Data Marketplaces
In the rapidly evolving landscape of data management, the concept of data products has emerged as a cornerstone for effective…
A Step Ahead: IoT Sensors – Where Vast Data Comes From
The insight we gain from an IoT system is derived from the data obtained by its sensors. Driven by innovations…
The Art of Lean Governance: The Integrated Governance Framework
In this column, we explore the basic foundations of an integrated governance framework, defined as the correct blending of governance…
Data Speaks for Itself: The Shift from Syntactic to Semantic Data Curation
My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue…
All in the Data: Take Data Vitamins to Improve Corporate Health
In today’s fast-paced business environment, data is often referred to as the lifeblood of an organization. Just as the human…
Crossing the Data Divide: Metrics Stores Remind Me That Data Work Is Hard
If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. They are interesting to an extent,…