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More Important Than Ever: Data Quality in the Age of Generative AI

As generative AI technologies continue to evolve and permeate various industries, the old adage “garbage in, garbage out” is just as true as it’s ever been. In fact, ensuring data quality has become more critical than ever. In this webinar, guest speaker Michele Goetz from Forrester joins Kurt Muehmel from Dataiku to explore the unique challenges that arise in maintaining data quality, including issues of bias, accuracy, and relevance. We’ll also cover practical best practices and strategies for ensuring data quality in the context of generative AI. Join us as we navigate this exciting yet complex terrain, equipping you with the knowledge and tools to ensure data quality in this new era of AI technology. To explore more about Dataiku, check out the rest of our content: CHECK OUT DATAIKU: https://bit.ly/36XBlpK AI&Us: https://www.dataiku.com/stories/ai-an... ROAI: https://www.dataiku.com/return-on-ai/ Linkedin: https://bit.ly/3lXyRMb Twitter: @dataiku Instagram: @dataiku