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The AI and Data Revolution

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Grounded in theory, this book uses real-life case studies to illustrate how the collection, manipulation and application of data are reshaping businesses. It explains what this means for your organ...
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  • 24 April 2025
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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.

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Price: £50.00
Publisher: Facet Publishing
Imprint: Facet Publishing
Publication Date: 24 April 2025
Trim Size: 9.19 X 6.12 in
ISBN: 9781783307081
Format: Paperback
BISACs:

LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Digital & Online Resources, Information technology: general topics, COMPUTERS / Artificial Intelligence / General, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Administration & Management, LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Collection Development, COMPUTERS / Data Science / Data Analytics, Library, archive and information management, Library and information services, Artificial intelligence, Data science and analysis: general, Data capture and analysis

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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