Through the Looking Glass: More Metaphors and LLMs
Part I When I finished my last column, “Through the Looking Glass: Metaphors, MUNCH, and Large Language Models,” I stated…
Legal Issues for Data Professionals: Current Leading U.S. AI Laws
There is no nationwide federal law in the U.S. that specifically regulates the development, deployment, and use of AI in…
Data Crime: Your Phone Isn’t Here
I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications,…
How to Build a Robust Data Architecture for Scalable Business Growth
In the digital age, businesses rely on high-quality, easily accessible data to guide all manner of decisions and encourage growth.…
Data Literacy: The $100 Million Insurance Policy You’re Probably Ignoring
In boardrooms across the globe, executives are gleefully signing off on multi-million-dollar investments in data infrastructure. Big data! AI! Machine…
Soft Skills for Data Professionals and Practical Ways to Learn Them
I have been in data, in some form or another, for over 20 years and have come a long way…
Data Is Risky Business: Scaling Data Governance to the National Stage
I recently started a doctorate. And because I obviously have too much free time after running my business, teaching, and writing…
The Data-Centric Revolution: Dealing with Data Complexity
There are many perennial issues with data: data quality, data access, data provenance, and data meaning. I will contend in…
Building Sustainable Data Centers for the Digital Age
Data centers are increasingly necessary in today’s digitally dependent world. However, these specialized facilities are incredibly resource-intensive, requiring the professionals…
Fundamentals of AI Automation
Experts predict the AI market will grow from $184 billion in 2024 to $826 billion by 2030. And considering the…