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…
AI
Data and Analytics Governance: The Backbone of AI Adoption
Data Governance Goals The primary aim of data and analytics (D&A) governance, our research has taught us, is aligning data…
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,…
Digital Identity Verification: The Role of AI in Financial Security
The global financial sector is undergoing a profound digital transformation, redefining how individuals and institutions interact with their money. In…
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 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 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…
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…