The AI and Data Revolution: Understanding the New Data Landscape

by Martin de Saulles

Overview

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.

Product Details

ISBN-13:	9781783307098
Publisher:	Facet Publishing
Publication date:	04/24/2025
Pages:	252
Product dimensions:	6.13(w) x 9.19(h) x 0.00(d)

About the Author

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.

Table of Contents

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