ENGLISH

AI and Big Data's Potential for Disruptive Innovation

By Moses Strydom (editor) , Sheryl Buckley (editor)

Book information

Publisher
Engineering Science Reference
Year
2019
ISBN
1522596879, 9781522596875
Language
english
Format
PDF
Filesize
15 MB (16217779 bytes)
Series
Advances in Computational Intelligence and Robotics
Pages
432\429
Time added
2021-07-07 14:45:01

Description

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. 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

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