Artificial Intelligence for Business (eBook, PDF)

An Implementation Guide Containing Practical and Industry-Specific Case Studies
Redaktion: K, Hemachandran; Rodriguez, Raul V.

• Format: PDF

Produktbeschreibung

This book is a valuable resource for academics, researchers, professionals, and policymakers who are interested in understanding the potential of AI in the business world. The contributions from leading experts and researchers provide a comprehensive overview of AI in business applications, and how it is transforming different sectors.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 372
• Erscheinungstermin: 21. November 2023
• Englisch
• ISBN-13: 9781000968866
• Artikelnr.: 69093148

Autorenporträt

Dr. Hemachandran K has been a passionate teacher with 14 years of teaching experience and having 5 years of research experience. A strong educational professional with a scientific bent of mind, highly skilled in AI & ML. After receiving a Ph.D. in the embedded system at Dr. MGR Educational & Research Institute, India. He started doing interdisciplinary research in AI. An open-ended positive person who has stupendous peer-reviewed publication records with more than 20 journals and international conference publications. He served as an effective resource person at various national and international scientific conferences. His editorial skills made him include as an editorial board member in numerous reputed SCOPUS / SCI journals. Dr. Raul Villamarin Rodriguez is the Pro-Vice-Chancellor, Woxsen University, and Dean of the School of Business at Woxsen University. He holds a Ph.D. in Artificial Intelligence and Robotics Process Automation applications in Human Resources. Fmr. Co-CEO at Irians Research Institute, a research institute specialized in the field of neuromarketing, AI, ML, market research, behavioral science, social research, and behavioral engineering. His areas of expertise and interest are Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, Multi-agent Systems, Knowledge Engineering, and Quantum Artificial Intelligence. He has the experience and feels comfortable using Prolog, Java, C++, Python, R/RStudio, Julia, Swift, Scala, MySQL, and Spark, among others. He is a registered expert in Artificial intelligence, Intelligent Systems, and Multi-agent Systems at the European Commission, a nominee for the Forbes 30 Under 30 Europe 2020 list, and awardee in the Europe India 40 under 40 Leaders. Alongside this, he is a member of the GRLI Deans and Directors cohort. He has co-authored two reference books: "New Age Leadership: A Critical Insight" and "Retail Store" and has more than 70 publications to his credit. He is a weekly contributing writer to various magazines in the field of analytics and emerging technologies. Alongside this, he is a journal reviewer and associate editor in various publications such as IEEE.

Inhaltsangabe

Chapter 1 : INTRODUCTION TO AI IN BUSINESS APPLICATIONS Chapter 2: Digital revolution and sustainability without well-founded mathematical education? Chapter 3: Human apprehension and Artificial Intelligence: dilemma of Artificial Intelligence fostering human-like cognizance, ethics and cognitive capabilities and the current infusion of AI in business. Chapter 4: Artificial Intelligence in Marketing Applications Chapter 5: Artificial Intelligence in Tourism and Advertising Chapter 6: Artificial Intelligence in Retail Marketing Chapter 07: Innovative Recruitment Strategies Using Knowledge Management Systems for Business Sustainability Chapter 8: Human Resources Chapter 9: Evolution of Chatbot in Human Resource Management Chapter 10: AI in Insurance Chapter 11: Finance Chapter 12: Legal Chapter 13. AI in Supply Chain, Logistics and Manufacturing Chapter 14: Chapter Bayesian Machine Learning Approach for Evaluating the Effectiveness of an Order Fulfilment Reengineering Project in the Downstream Oil and Gas Supply Chain Chapter 15: ARTIFICIAL INTELLIGENCE IN SPORTS INDUSTRY Chapter 16: ARTIFICIAL INTELLIGENCE RESHAPING THE INDIAN DAIRY SECTOR: BETTER DAYS AHEAD Chapter 18 : AI in Energy Sector Chapter 19: Managing Organizational Change Management with AI Chapter 20: Adoption of Artificial Intelligence (AI) in Small and Medium sized Enterprises (SMEs): A Systematic Literature Review (SLR) and Bibliometric Analysis of global research trends Chapter 21: AI in Public Sector