Garbage In - Garbage Out! Still Applies With Gen AI
Solutions Review, Thursday, September 26th, 2024
Integreon's Diane Homolak offers insight on why the phrase 'garbage in, garbage out' still applies in the GenAI era.
For as long as there have been computers, we've heard the warning, 'Garbage in - Garbage out!' when it came to expecting great outcomes from using poor data. But with the advent of generative AI (GAI) applications, many were hopeful we had finally unshackled ourselves from the issues of poor-quality data undermining the benefits of technology deployments.
Surely, this amazing new technology that could learn to find answers from a single example, that could spot and summarize key issues in massive documents in seconds, could also weed through the mess that describes much, if not most, of our data storage. Like Mickey Mouse as the Sorcerer's Apprentice, we would wave our GAI wand over our cauldron of data and out would come the insights and value long hidden in that dark brew of duplicated, mismatched, incomplete, and poorly OCR'd files. True magic! But is it?