AI and Big Data's Potential for Disruptive Innovation

✍ Scribed by Moses Strydom (editor), Sheryl Buckley (editor)

• Publisher: Engineering Science Reference
• Year: 2019
• Tongue: English
• Leaves: 429
• Series: Advances in Computational Intelligence and Robotics
• Category: Library

✦ Synopsis

Big data and artificial intelligence (AI) are at the forefront of technological advances that represent 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 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 Data's 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.

✦ Table of Contents

Title Page
Copyright Page
Book Series
Dedication
Editorial Advisory Board
Table of Contents
Detailed Table of Contents
Foreword
Preface
Acknowledgment
Chapter 1: Big Data Intelligence and Perspectives in Darwinian Disruption
Chapter 2: Ontology-Based Open Tourism Data Integration Framework
Chapter 3: Artificial Intelligence for Extended Software Robots, Applications, Algorithms, and Simulators
Chapter 4: Machine Learning and Artificial Intelligence
Chapter 5: Wearables, Artificial intelligence, and the Future of Healthcare
Chapter 6: Blockchain as a Disruptive Technology
Chapter 7: Disrupting Agriculture
Chapter 8: Automated Grading of Tomatoes Using Artificial Intelligence
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
Compilation of References
About the Contributors
Index