LLMs Are Rewriting the Rules of Behavioral Targeting
Marketers missed the real story while they scrambled to rebuild audience targeting without cookies: LLMs weren’t just changing how we…
large language models
What Is AI Anomia and Why Does It Matter?
We live in an age where the words we use for artificial intelligence are shaping the future faster than the…
Data Speaks for Itself: Data Quality Management in the Age of Language Models
Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My…
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…
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…