Cleaning Up the Data Disaster: How Businesses Can Battle Dirty Data
Running a business with dirty data is like trying to drive a car blindfolded — it’s only a matter of…
Data Education
Empowering Organizations Through Data Literacy, Governance, and Business Literacy
In my journey as a data management professional, I’ve come to believe that the road to becoming a truly data-centric…
All in the Data: Brain Rot vs. Data Rot
Oxford University Press’ 2024 Word of the Year, “brain rot,” is both funny and frightening. It captures what happens when…
When the Vendor Defines “Responsible AI”
When veteran human resources leaders ask questions like “Can AI care for the worker?” or praise AI’s potential while their organizations wrestle…
Crossing the Data Divide: Quantum Information Theory and the Future of Data Management
An unlikely combination of events inspired this column: I’m on day 271 of learning Chinese (after being challenged by my…
The Next Step in Smart Manufacturing: How AI Transforms Chaos Into Control
The surge in worker strikes across key industries has become a recurring challenge, disrupting supply chains and creating ripple effects…
Explaining the Why Behind Data Quality Dimensions
Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a…
Stop Feeding AI Junk: A Systematic Approach to Unstructured Data Ingestion
It’s go-time for enterprise AI. A PagerDuty global survey of 1,000 IT and business executives found that 62% of companies…
Rethinking (Data) Politics in the Workplace
Most people cringe when they hear the word politics in the workplace. It brings to mind backroom deals, favoritism, turf…
The Good AI: Data Contracts for AI Transparency
“AI is only as trustworthy as the data that fuels it.” This statement has never been more relevant. AI systems…