Artificial Intelligence for Business
An Implementation Guide Containing Practical and Industry-Specific Case Studies
Herausgeber: K, Hemachandran; Rodriguez, Raul V
Artificial Intelligence for Business
An Implementation Guide Containing Practical and Industry-Specific Case Studies
Herausgeber: K, Hemachandran; Rodriguez, Raul V
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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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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.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Seitenzahl: 360
- Erscheinungstermin: 21. November 2023
- Englisch
- Abmessung: 254mm x 178mm x 22mm
- Gewicht: 862g
- ISBN-13: 9781032415086
- ISBN-10: 1032415088
- Artikelnr.: 69115102
- Verlag: Taylor & Francis
- Seitenzahl: 360
- Erscheinungstermin: 21. November 2023
- Englisch
- Abmessung: 254mm x 178mm x 22mm
- Gewicht: 862g
- ISBN-13: 9781032415086
- ISBN-10: 1032415088
- Artikelnr.: 69115102
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.
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
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
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
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