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OverviewThis book provides a comprehensive and up-to-date exploration of data management practices tailored to the needs and challenges of AI technologies. Aimed at masters students, postgraduate trainees, and professionals, this book guides readers through essential components of the data management process, including data collection and preprocessing, ensuring data quality, and establishing effective training and finetuning procedures for AI applications. It also covers AI output validation, compliance measures, and risk mitigation strategies to improve data usability and reliability. Full Product DetailsAuthor: Paolo Ceravolo , Sylvio Barbon Junior , Faiza Bukhsh , Maurice Van KeulenPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG ISBN: 9783032243904ISBN 10: 3032243904 Publication Date: 03 June 2026 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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