We are entering a new phase in the information revolution driven by the introduction of innovative artificial intelligence (AI) technologies. From the rise of mass media, mass communications and the expansion of the internet, to mobile computing, social networks and Generative AI, this important and authoritative book outlines the key changes over the last 30 years that have led to this moment.
Drawing on established frameworks, theories, historical research and empirical evidence, this book argues that the current wave of AI-driven innovations represents a step-change in how organisations can extract value from data and that this will have significant implications for business innovation and how companies compete. Individual chapters explore
the history of the information industry and key milestones in artificial intelligence
an overview of the data and AI landscape
the opportunities and challenges of the AI revolution
the ethical, policy and legal issues of data-driven AI
and scenarios for where the data revolution is heading up to 2030
Insightful and accessibly written, The AI and Data Revolution is a valuable resource for knowledge managers, information managers and data analysts as well as researchers and students in library, information and computer sciences.
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Professional Reference
Maße
Höhe: 234 mm
Breite: 156 mm
Dicke: 10 mm
ISBN-13
978-1-78330-708-1 (9781783307081)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Martin De Saulles has over 30 years of experience working as an academic and technology analyst. Until 2024, he was a Principal Lecturer at the University of Brighton, UK where he taught modules on innovation and marketing. He is the author of several books on the data and information industries as well as academic journal and conference papers.
Introduction
Chapter 1: How Did We Get Here?
Chapter 2: The Current AI and Data Landscape
Chapter 3: The Emerging Data-Driven AI Revolution
Chapter 4: Ethical, Policy and Legal Issues of Data-Driven AI
Chapter 5: Looking Ahead
Chapter 6: Pulling the Threads Together
Conclusion
Index