Making Sense of AI Regulations and Frameworks: Principle-Based Regulations
This article discusses the challenges associated with AI principle-based regulations. In Part 1, we outlined which institutions issue AI-related regulations [...]
Making Sense of AI Regulations and Frameworks: Understanding Risk-Based AI Regulations
This article provides a review of the risk-based AI regulations. In Part 1 of this series, we examined which institutions [...]
Making Sense of AI Regulations and Frameworks: Who Regulates AI—and How It’s Defined
This article provides the review of the AI-regulating bodies. Artificial intelligence is evolving faster than the rules meant to keep [...]
Tracking Maturity: A Five-Year Perspective on The Data Chain Management
This article discusses 5-year maturity trends in the data lifecycle management capability. This is the fifth article in the series [...]
Tracking Maturity: A Five-Year Perspective on The Data Modelling Capability
This article discusses the trends in data modelling maturity. This is the third article in the series Tracking Data Management [...]
AI Governance: Trending Topics in 2025
This article discusses the key trending topics in AI governance in 2025. In Part 1 of the series, I will [...]
Aligning DAMA-DMBOK & DCAM®: (R)Evolution in the Industry?
This article discusses the news: potential alignment between DAMA-DMBOK and DCAM®. In May 2025, I had the privilege of [...]
Tailoring AI Industry Frameworks for an Organization’s Needs
This article discusses the approach to tailoring AI industry frameworks to an organization's needs. Recently, I conducted a LinkedIn poll [...]
Data vs. Information: Foundations of the Debate
This article explores the origins of the debate on data vs. information within the context of data management. Challenges with [...]
Harmonizing Data and AI Governance: To Do or Not To Do?
Harmonizing Data and AI Governance: "To Do or Not to Do"? This is a question every data management professional should [...]