 
      The AI and Data Revolution
Understanding the New Data Landscape
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks. 
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Product details:
- Edition number 1
- Publisher Facet Publishing
- Date of Publication 24 April 2025
- ISBN 9781783307081
- Binding Paperback
- No. of pages252 pages
- Size 234x156 mm
- Weight 286 g
- Language English 656
Categories
Short description:
This book outlines the key changes over the last 30 years that have led to this moment, what is changing in terms of how data is being used to create new products and services and what this means for how organisations can adapt to the emerging data-driven and AI landscape.
MoreLong description:
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.
MoreTable 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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