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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…
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 your data quality management (DQM)…
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…
Blogs
Data Protection vs. Cyber Resilience in the Complex World of Gambling
The gambling industry never sleeps. With online casinos, sports betting, and digital gaming platforms available 24/7, gambling is…
Why Data Governance Still Matters in the Age of AI
At a recent conference, I witnessed something that’s become far too common in data leadership circles: genuine surprise that chief data…
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…
What Is AI Anomia and Why Does It Matter?
We live in an age where the words we use for artificial intelligence are shaping the future faster than the technologies themselves. We…