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…
Data Topics
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…
Understanding Data Pipelines: Why They Matter, and How to Build Them
Building effective data pipelines is critical for organizations seeking to transform raw research data into actionable insights. Businesses rely on…
A Leadership Blueprint for Driving Trusted, AI-Ready Data Ecosystems
As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing…
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…
AI and Data Engineering: The Importance of Validation in Complex Data Systems
In today’s digital systems, vast volumes of information are produced daily. However, simply collecting large amounts of data is not…
The Good AI: Cultivating Excellence Through Data
My recent journey along the Nile River in Egypt sparked an unexpected professional revelation. Standing on the deck of a…
Self-Service BI Is the New Face of Data Governance
Let’s face it — data governance has never been just about ownership and stewardship. As Jonathan Reichental notes in “Data…
Crossing the Data Divide: Strategic Priorities for Data Leaders in 2026
It’s July. That means budget season for most enterprises with a calendar fiscal year. And for data leaders, it’s time…