The AI and Data Revolution: Understanding the New Data Landscape
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.

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The AI and Data Revolution: Understanding the New Data Landscape
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.

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The AI and Data Revolution: Understanding the New Data Landscape

The AI and Data Revolution: Understanding the New Data Landscape

by Martin De Saulles
The AI and Data Revolution: Understanding the New Data Landscape

The AI and Data Revolution: Understanding the New Data Landscape

by Martin De Saulles

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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 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.


Product Details

ISBN-13: 9781783307081
Publisher: American Library Association
Publication date: 06/13/2025
Pages: 192
Product dimensions: 6.00(w) x 9.00(h) x 0.60(d)

About the Author

Martin De Saulles has over 30 years of experience working as an academic and technology analyst. Before working at the University of Brighton, he worked in management consulting and completed an MSc and PhD in innovation policy at the University of Sussex. He has published several reports and books on the technology sector as well as academic journals and conference papers. He is a regular contributing writer to CIO.com.

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

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