AI and Big Data’s Potential for Disruptive Innovation, 1st Edition

  • Moses Strydom
  • Sheryl Buckley
  • Published By: Engineering Science Reference
  • ISBN-10: 1522596895
  • ISBN-13: 9781522596899
  • DDC: 338
  • 405 Pages | eBook
  • Original Copyright 2020 | Published/Released March 2020
  • This publication's content originally published in print form: 2020

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Big data and artificial intelligence (AI) are at the forefront of technological advances representing a potential transformational mega-trend—a 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 organizations 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. This book provides emerging research on the theoretical and practical aspects of implementing new and innovative technologies in the business, transportation, and healthcare sectors. Covers topics such as semantic mapping, ethics in AI, and big data governance. For IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Advances in Computational Intelligence and Robotics (ACIR) Book Series.
Editorial Advisory Board.
Table of Contents.
Detailed Table of Contents.
1: Big Data Intelligence and Perspectives in Darwinian Disruption.
2: Ontology-Based Open Tourism Data Integration Framework: Trip Planning Platform.
3: Artificial Intelligence for Extended Software Robots, Applications, Algorithms, and Simulators.
4: Machine Learning and Artificial Intelligence: Rural Development Analysis Using Satellite Image Processing.
5: Wearables, Artificial intelligence, and the Future of Healthcare.
6: Blockchain as a Disruptive Technology: Architecture, Business Scenarios, and Future Trends.
7: Disrupting Agriculture: The Status and Prospects for AI and Big Data in Smart Agriculture.
8: Automated Grading of Tomatoes Using Artificial Intelligence: The Case of Zimbabwe.
9: Applications of Big Data and AI in Electric Power Systems Engineering.
10: Blockchain and Its Integration as a Disruptive Technology.
11: Cyber Secure Man-in-the-Middle Attack Intrusion Detection Using Machine Learning Algorithms.
12: The Intersection of Data Analytics and Data-Driven Innovation.
Compilation of References.
About the Contributors.