Careful is as careful does! Never before has that truism carried more weight than today, as businesses all over the world look to leverage the remarkable power of Generative AI. Solutions like OpenAI’s ChatGPT, Google’s Bard and others are already revolutionizing how content is created, and the race is on to fine-tune models for individual organizations.

But wait! There’s likely some bad data hiding in your systems! With GenAI, the old rule of garbage in, garbage out is amplified. You don’t want to train a model on bad data! What can you do about that? Check out this episode of InsideAnalysis to find out! Hosts @eric_kavanagh and Yves Mulkers will dive into the details. Also joining the show will be Lewis Wynne-Jones from ThinkData Works, a Canadian outfit with a unique approach to data virtualization and governance.

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