Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain
Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that…
large language models
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…
The Book Look: Enterprise Intelligence
Every once in a while, a book comes along that contains such innovative ideas that I find myself whispering “wow”…
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…
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…
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…
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…
Creative Ways to Surf Your Data Using Virtual and Augmented Reality
Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes…
Crossing the Data Divide: Data Catalogs and the Generative AI Wave
The “Tide” of LLMs Has Reached Our Shores As a career data professional and having spent most of the last…
Through the Looking Glass: Data Provenance in the Age of Generative AI
Am I right that you can’t open LinkedIn, read a tech or business blog, or attend a conference for more…