Data Management for the AI Era: Ensuring Reliability and Accountability

IFIP WG 2.6, Invited Selection

Hardcover

Kurzbeschreibung des Verlags

This 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.

• Reihe: IFIP Advances in Information and Communication Technology
• Themen: Informatik und Informationstechnologie Datenbanken / Datenmanagement
• ISBN: 9783032243904
• Sprache: Englisch
• Erscheinungsdatum: 22.08.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Paolo Ceravolo, Sylvio Barbon Junior, Faiza Bukhsh, Maurice Van Keulen, Samira Maghool, Robert Wrembel