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…
AI
Data Speaks for Itself: The Shift from Syntactic to Semantic Data Curation
My column today is a follow-up to my article “The Challenge of Data Consistency,” published in the May 2023 issue…
Artificial vs. Augmented Intelligence
Terms like artificial intelligence (AI) and augmented intelligence are often used interchangeably. However, they represent fundamentally different approaches to utilizing…
The Book Look: AI Governance
Technics Publications has started publishing a line of Data-Driven AI books, and one of the first books in this series…
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…
Through the Looking Glass: Metaphors, MUNCH, and Large Language Models
“What’s a metaphor?” Mr. Biergel posed the question one morning to my high school grammar class. Being typical teenagers, we…
Legal Issues for Data Professionals: Pros and Cons of AI in Healthcare (Part 1)
The use of Artificial Intelligence (AI) in healthcare provides promises, risks, and unintended consequences. This column addresses the evolving AI…
The Risk and Promise of AI
Artificial intelligence (AI) is rapidly reshaping our world, influencing everything from the way we work to the way we live.…
The Analytics Sandwich: Understanding the Business Value of Data and AI
In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm…
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…