Through the Looking Glass: Mahler, Creativity, and AI-Generated Music
It’s been just a few months since I checked off one of the top items on my bucket list. This…
Data Columns
Legal Issues for Data Professionals: Protecting Against AI Risks in NDAs
This column explores how to protect against the risks of AI in legal confidentiality and non-disclosure agreements (NDAs). When companies…
Data Is Risky Business: The Risk of AI Atrophy
Recently, I’ve been digging into what the future of work and the workforce might be in a post-GenAI world. Right…
The Data-Centric Revolution: Evolution of Metrics in a Data-Centric Enterprise (Part 1)
I’ve written elsewhere about the value of grounding your metrics program in semantics.1 This article goes well beyond that. We…
The Art of Lean Governance: Why Stakeholders Are the Key to Data Reconciliation
In an era where data drives trillion-dollar market decisions, one truth separates industry leaders from the rest: Data reconciliation is only…
Eyes on Data: AI Fluency and Data Management for Responsible Innovation
The promise and pursuit of artificial intelligence (AI) are undeniable. AI is reshaping how organizations interact with customers, streamline operations,…
Data Speaks for Itself: Is Your Data Quality Management Practice Ready for AI?
While everyone is asking if their data is ready for AI, I want to ask a somewhat different question: Is…
A Step Ahead: From Acts to Aggregates — Record-ness and Data-ness in Practice
Introduction What is the difference between records and data? What differentiates records managers from data managers? Do these distinctions still…
All in the Data: Where Good Data Comes From
Let’s start with a truth that too many people still overlook — not all data is good data. Just because…
The Book Look: Rewiring Your Mind for AI
I collect baseball and non-sport cards. I started collecting when I was a kid, stopped for about 40 years, and…