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.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher American Library Association
- Date of Publication 13 June 2025
- ISBN 9781783307081
- Binding Paperback
- No. of pages192 pages
- Size 229x152x15 mm
- Weight 286 g
- Language English 678
Categories
Long 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 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.
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
More
