Transforming Business Management with AI, BI, and Data-Driven Decision-Making

In today's rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and data-driven decision-making are transforming traditional business management practices, leading to unparalleled innovation and efficiency.

Transforming Business Management with AI, BI, and Data-Driven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate the real-world applications of AI and BI as decision-making tools, the book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today's dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Also offered are strategies for achieving data-driven decision-making at the highest level.

By bridging the gap between theoretical concepts and practical data analysis issues, this book is a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.

1147390796
Transforming Business Management with AI, BI, and Data-Driven Decision-Making

In today's rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and data-driven decision-making are transforming traditional business management practices, leading to unparalleled innovation and efficiency.

Transforming Business Management with AI, BI, and Data-Driven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate the real-world applications of AI and BI as decision-making tools, the book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today's dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Also offered are strategies for achieving data-driven decision-making at the highest level.

By bridging the gap between theoretical concepts and practical data analysis issues, this book is a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.

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Transforming Business Management with AI, BI, and Data-Driven Decision-Making

Transforming Business Management with AI, BI, and Data-Driven Decision-Making

Transforming Business Management with AI, BI, and Data-Driven Decision-Making

Transforming Business Management with AI, BI, and Data-Driven Decision-Making

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$160.00 
Available for Pre-Order. This item will be released on October 28, 2025

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Overview

In today's rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and data-driven decision-making are transforming traditional business management practices, leading to unparalleled innovation and efficiency.

Transforming Business Management with AI, BI, and Data-Driven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate the real-world applications of AI and BI as decision-making tools, the book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today's dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Also offered are strategies for achieving data-driven decision-making at the highest level.

By bridging the gap between theoretical concepts and practical data analysis issues, this book is a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.


Product Details

ISBN-13: 9781040435854
Publisher: CRC Press
Publication date: 10/28/2025
Series: Manufacturing Design and Technology
Sold by: Barnes & Noble
Format: eBook
Pages: 312

About the Author

Swati Gupta is an Assistant Professor at Chitkara Business School, Chitkara University, Punjab, India. She possesses a doctoral degree in Management and has over 9 years of professional experience across various educational institutions. She specializes in teaching subjects such as Consumer Behaviour, Market Research, Marketing Management, Organizational Behavior, Sales and Distribution Management, Services Marketing & Retail Management. Having served as the editor for various books under renowned publishing houses as well as a chapter reviewer, she has contributed significantly to the academic field.

Sanjay Taneja is currently an Associate Professor at the Department of Management Studies, Graphic Era deemed to be a university, in India. His interest areas are Accounting and Finance (Fin Tech, Green Finance), Risks, Insurance Management, Green Economics, and Management of Innovation in Insurance. He holds a double master’s degree in management with a specialization in Finance and Marketing. He received his PG degree in Management (Gold Medalist) from Chaudhary Devi University, Sirsa, India in 2012 and earned his Doctor of Philosophy (Sponsored by ICSSR) in 2016 from Chaudhary Devi University, Sirsa, India. He received his Post-Doctoral Degree from the Faculty of Social Sciences, Department of Banking and Insurance, Usak University, Turkey in 2023. Dr. Taneja has published research papers in reputed journals and has more than fifty publications in total to his credit. He also has 2 e-books,1 textbook, 20 edited books, and four book chapters all Scopus indexed. He has attended/organized more than 50 conferences national and international has been invited as session chair, resource person, keynote speaker, and judge at various conferences in India and outside. He is also a reviewer for several journals and has received several academic awards/recognitions. His motto in life is to grow and help others in growth.

J. Paulo Davim is a full Professor at the University of Aveiro, Portugal. He is also distinguished as an honorary professor in several universities/colleges/institutes in China, India, and Spain. He received his PhD in Mechanical Engineering, MSc in Mechanical Engineering (materials and manufacturing processes), and Mechanical Engineering degree (5 years), from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra and the DSc (Higher Doctorate) from London Metropolitan University. He is a Fellow (FIET) of IET-London and Eur Ing by Engineers Europe FEANI-Brussels. He is also a Senior Chartered Engineer by the Portuguese Institution of Engineers with an MBA and Specialist titles in Engineering and Industrial Management as well as in Metrology. He has more than 35 years of teaching and research experience in Manufacturing, Materials, Mechanical, and Industrial Engineering, with special emphasis in Machining, Tribology & Surface Engineering. Dr. Davim is also interested in Design, Management, Sustainability, Artificial Intelligence, Engineering Education, and Higher Education for Sustainability. He has guided large numbers of postdoc, PhD, and master’s students as well as has coordinated and participated in several financed research projects. He has received several scientific awards and honors and has worked as an evaluator of projects for ERC-European Research Council and other international research agencies and as an examiner of PhD theses for many universities in different countries. He is the editor-in-chief of several international journals, Guest Editor of journals, book Editor, book Series Editor, and Scientific advisor for many international journals and conferences.

Table of Contents

1. The Impact of Deepfake Technology on Crisis Management in Business through AI and BI. 2. Advanced Speech Recognition System using AI for Accurately Understanding Regional English Accents through Data Driven Techniques. 3. Unleashing Business Intelligence and Economic Power in BRICS Nations. 4. The Future of Marketing: Influence of Augmented Reality and Virtual Reality Technologies. 5. Bibliometric Analysis of Financial Inclusion and Its Impact on Poverty Eradication and Reduction. 6. Combating Deepfakes: Converging and Diverging Approaches of Media and Internet Powerhouses against High-Tech Disinformation. 7. Bibliometric Insights: Emerging trends in AI adoption and Integration in Educational Institutions. 8. Employee Training, Educating Staff on Recognizing and Reporting Deepfakes, Building a Vigilant Corporate Culture. 9. Deepfake Prescriptions: When AI Plays Doctor through Data Driven Techniques. 10. The Economic Implications of SDG 3 and Healthcare 3.0: A Multivariate Regression Analysis of AI Adoption, Accessibility, and Regulatory Factors. 11. Transforming Business Management with AI and Data-Driven Decision Making: Insights from FemTech Tools for Pelvic Floor Muscle Training Among Women. 12. Digitalization in The Banking Sector- The case of Turkey. 13. The Impact of Artificial Intelligence and Business Intelligence on Banking Industry for Enhanced Data-Driven Decision-Making. 14. An Empirical Investigation in Analyzing the Impact of Implementing Artificial Intelligence (AI) in the Banking Industry. 15. The Face of Deception: Unmasking Deepfake Fraud in Financial Markets through AI, BI tools.

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