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- Description
- Table of Contents
- About the author
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 organizations 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
- 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.
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