AI and Big Datas Potential for Disruptive Innovation

AI and Big Datas Potential for Disruptive Innovation
  • eBook:
    AI and Big Datas Potential for Disruptive Innovation
  • Author:
    Moses Strydom, Sheryl Buckley
  • Edition:
    1 edition
  • Categories:
  • Data:
    September 27, 2019
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    405 pages
  • Format:
    PDF, ePUB

Book Description
Big data and artificial intelligence (AI) are at the forefront of technological advances that represent a potential transformational mega-trenda new multipolar and innovative disruption. These technologies, and their associated management paradigm, are already rapidly impacting many industries and occupations, but in some sectors, the change is just beginning. Innovating ahead of emerging technologies is the new imperative for any organization that aspires to succeed in the next decade. Faced with the power of this AI movement, it is imperative to understand the dynamics and new codes required by the disruption and to adapt accordingly.
AI and Big Datas Potential for Disruptive Innovation provides emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative technologies in a variety of sectors including business, transportation, and healthcare. Featuring coverage on a broad range of topics such as semantic mapping, ethics in AI, and big data governance, this book is ideally designed for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research on the production of new and innovative mechanization and its disruptions.


Chapter 1. Big Data Intelligence and Perspectives in Darwinian Disruption
Chapter 2. Ontology-Based Open Tourism Data Integration Framework: Trip Planning Platform
Chapter 3. Artificial Intelligence for Extended Software Robots, Applications, Algorithms, and Simulators
Chapter 4. Machine Learning and Artificial Intelligence: Rural Development Analysis Using Satellite Image Processing
Chapter 5. Wearables, Artificial intelligence, and the Future of Healthcare
Chapter 6. Blockchain as a Disruptive Technology: Architecture, Business Scenarios, and Future Trends
Chapter 7. Disrupting Agriculture: The Status and Prospects for AI and Big Data in Smart Agriculture
Chapter 8. Automated Grading of Tomatoes Using Artificial Intelligence: The Case of Zimbabwe
Chapter 9. Applications of Big Data and AI in Electric Power Systems Engineering
Chapter 10. Blockchain and Its Integration as a Disruptive Technology
Chapter 11. Cyber Secure Man-in-the-Middle Attack Intrusion Detection Using Machine Learning Algorithms
Chapter 12. The Intersection of Data Analytics and Data-Driven Innovation

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