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 explorethe history of the information industry and key milestones in artificial intelligencean overview of the data and AI landscapethe opportunities and challenges of the AI revolutionthe ethical, policy and legal issues of data-driven AIand scenarios for where the data revolution is heading up to 2030Insightful 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.
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.
IntroductionChapter 1: How Did We Get Here?Chapter 2: The Current AI and Data LandscapeChapter 3: The Emerging Data-Driven AI RevolutionChapter 4: Ethical, Policy and Legal Issues of Data-Driven AIChapter 5: Looking AheadChapter 6: Pulling the Threads TogetherConclusionIndex
This is a very impressive piece of work. It does indeed address real problems, adds value, and stands out. It makes sense of a sometimes bewildering field and does so with clarity, an easy writing style, with many examples and case studies. Emphatically recommended.