Data Quality = Quality AI // AIQCON Panel
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Navigating AI in Auction Systems
This chapter examines the intricate challenges of utilizing machine-generated data for pricing models in auction systems, particularly focusing on the potential errors introduced by automated bidding. It also emphasizes the importance of data quality for establishing enterprise-ready AI solutions and explores the disconnect between organizational ambitions and their actual capabilities in data management.
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