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

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

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

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

About this book

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 and 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 real?world applications of AI and BI as decision?making tools, this 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. Additionally, strategies for achieving data?driven decision?making at the highest level are also offered.

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

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Yes, you can access Transforming Business Management with AI, BI, and Data-Driven Decision-Making by Swati Gupta,Sanjay Taneja,J. Paulo Davim in PDF and/or ePUB format, as well as other popular books in Tecnología e ingeniería & Desarrollo empresarial. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Foreword
  8. Preface
  9. Introduction
  10. Editors
  11. Contributors
  12. Chapter 1 The Impact of Deepfake Technology on Crisis Management in Business through AI and BI
  13. Chapter 2 Advanced Speech Recognition System Using AI for Accurately Understanding Regional English Accents through Data-Driven Techniques
  14. Chapter 3 Unleashing Business Intelligence and Economic Power in BRICS Nations
  15. Chapter 4 The Future of Marketing: Influence of Augmented Reality and Virtual Reality Technologies
  16. Chapter 5 Bibliometric Analysis of Financial Inclusion and Its Impact on Poverty Eradication and Reduction
  17. Chapter 6 Combating Deepfakes: Converging and Diverging Approaches of Media and Internet Powerhouses against High-Tech Disinformation
  18. Chapter 7 Bibliometric Insights: Emerging Trends in AI Adoption and Integration in Educational Institutions
  19. Chapter 8 Employee Training, Educating Staff on Recognizing and Reporting Deepfakes, Building a Vigilant Corporate Culture
  20. Chapter 9 Deepfake Prescriptions: When AI Plays Doctor through Data-Driven Techniques
  21. Chapter 10 The Economic Implications of SDG 3 and Healthcare 3.0: A Multivariate Regression Analysis of AI Adoption, Accessibility, and Regulatory Factors
  22. Chapter 11 Transforming Business Management with AI and Data-Driven Decision-Making: Insights from FemTech Tools for Pelvic Floor Muscle Training among Women
  23. Chapter 12 Digitalization in the Banking Sector: The Case of Turkey
  24. Chapter 13 The Impact of Artificial Intelligence and Business Intelligence on Banking Industry for Enhanced Data-Driven Decision-Making
  25. Chapter 14 An Empirical Investigation into Analyzing the Impact of Implementing Artificial Intelligence in the Banking Industry
  26. Chapter 15 The Face of Deception: Unmasking Deepfake Fraud in Financial Markets through AI, BI Tools
  27. Index