Generative AI-Powered Data Architectures | From Governance to Autonomous Analytics

Bahaa Eddine Elbaghazaoui (u. a.)

ISBN 13: 9798337356167

Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2025

About this Item

Generative AI-Powered Data Architectures | From Governance to Autonomous Analytics | Bahaa Eddine Elbaghazaoui (u. a.) | Buch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337356167 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 134293703

Bibliographic Details

• Title: Generative AI-Powered Data Architectures | From Governance to Autonomous Analytics
• Publisher: IGI GLOBAL SCIENTIFIC PUBLISHING
• Publication Date: 2025
• Language: English
• ISBN 13: 9798337356167
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 24D millimeters 260 millimeters width by 183 millimeters height by 24 millimeters depth
• Weight: 865 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Generative AI rapidly transforms data architectures, reshaping how organizations govern, manage, and analyze data. As organizations face growing demands for real-time insights, scalability, and compliance, traditional data systems struggle to keep pace. Generative AI-powered data architectures offer a shift, enabling intelligent data governance, automated management, and analytics that evolve autonomously. These architectures streamline complex data operations while enhancing decision-making through proactive, AI-driven insights. Further exploration of these infrastructures may reveal more adaptive, explainable, and capable data to support new innovations in enterprise analytics. Generative AI-Powered Data Architectures: From Governance to Autonomous Analytics explores how generative AI can be effectively integrated with modern data architectures to build scalable, secure, and intelligent systems. It addresses the entire data lifecycle from governance and ingestion to transformation, storage, and autonomous analytics empowering organizations to leverage AI-driven processes. This book covers topics such as data analytics, learning systems, and ethics and law, and is a useful resource for engineers, educators, business owners, academicians, researchers, and data scientists.