Through the Looking Glass: Metaphors, MUNCH, and Large Language Models
“What’s a metaphor?” Mr. Biergel posed the question one morning to my high school grammar class. Being typical teenagers, we…
Data Columns
Legal Issues for Data Professionals: Pros and Cons of AI in Healthcare (Part 1)
The use of Artificial Intelligence (AI) in healthcare provides promises, risks, and unintended consequences. This column addresses the evolving AI…
Data Is Risky Business: The Big Picture Ethics of Small Data Actions
Regular readers of this column will have noticed a thread weaving its way through the articles over the past few…
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 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…
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…
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…
A Step Ahead: IoT Data Characteristics — Seven Vs
IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing,…
Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier
The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on…
Data Professional Introspective: The Data Management Education Program
In my work with the EDM Council’s Data Management Capability Assessment Model (DCAM) 3.0 development group, we are adding a…