Using proprietary data in AI workflows has the potential to transform brand marketing, but there aren’t any one-size-fits-all solutions. To make matters worse, the field is filled with jargon and hype. I can’t do much about the hype, but I can arm you with some high-level concepts to facilitate your AI-focused discussions. With that in mind, here’s a brief overview of Retrieval-Augmented Generation (RAG), one of the most popular ways to incorporate your proprietary data into generative AI workflows. Let’s explore.
P.S. Have you started planning for CES© (Las Vegas, January 7-10, 2025)? Our executive briefings and floor tours are the best way to experience the show. Let us help you get the most out of CES. Learn more.
ABOUT SHELLY PALMER
Shelly Palmer is the Professor of Advanced Media in Residence at Syracuse University’s S.I. Newhouse School of Public Communications and CEO of The Palmer Group, a consulting practice that helps Fortune 500 companies with technology, media and marketing. Named LinkedIn’s “Top Voice in Technology,” he covers tech and business for Good Day New York, is a regular commentator on CNN and writes a popular daily business blog. He's a bestselling author, and the creator of the popular, free online course, Generative AI for Execs. Follow @shellypalmer or visit shellypalmer.com.
