Through the Looking Glass: Mahler, Creativity, and AI-Generated Music
It’s been just a few months since I checked off one of the top items on my bucket list. This…
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Legal Issues for Data Professionals: Protecting Against AI Risks in NDAs
This column explores how to protect against the risks of AI in legal confidentiality and non-disclosure agreements (NDAs). When companies…
Through the Looking Glass: Technology Solutions in Search of a Problem
When I read about new technologies, I often think of the movie “Field of Dreams.” The protagonist builds a baseball…
Generative AI vs. Predictive AI: Comparing Apples and Oranges
The AI revolution is upon us, with businesses pouring billions of dollars into generative and predictive AI solutions. From crafting…
Through the Looking Glass: What Does Data Quality Mean for Unstructured Data?
I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over…
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…
Ensuring AI-Ready Data
Being an AI-ready organization involves identifying and then overcoming data issues that hinder the effective use of AI and generative…
The Rising Importance of AI Governance
AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. As…
Six Data Quality Dimensions to Get Your Data AI-Ready
If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language…
Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier
The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on…