Atnaujinkite slapukų nuostatas

AI and Data Revolution: Understanding the New Data Landscape [Minkštas viršelis]

  • Formatas: Paperback / softback, 192 pages, aukštis x plotis x storis: 234x156x10 mm
  • Išleidimo metai: 24-Apr-2025
  • Leidėjas: Facet Publishing
  • ISBN-10: 1783307080
  • ISBN-13: 9781783307081
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 192 pages, aukštis x plotis x storis: 234x156x10 mm
  • Išleidimo metai: 24-Apr-2025
  • Leidėjas: Facet Publishing
  • ISBN-10: 1783307080
  • ISBN-13: 9781783307081
Kitos knygos pagal šią temą:
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.
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
Martin De Saulles has over 30 years of experience working as an academic and technology analyst. Until 2024, he was a Principal Lecturer at the University of Brighton, UK where he taught modules on innovation and marketing. He is the author of several books on the data and information industries as well as academic journal and conference papers.