AI-Based Data Analytics
eBook - ePub

AI-Based Data Analytics

Applications for Business Management

  1. 244 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

AI-Based Data Analytics

Applications for Business Management

About this book

This book covers various topics related to marketing and business analytics. It explores how organizations can increase their profits by making better decisions in a timely manner through the use of data analytics. This book is meant for students, practitioners, industry professionals, researchers, and academics working in the field of commerce and marketing, big data analytics, and organizational decision-making. Highlights of the book include:

  • The role of Explainable AI in improving customer experiences in e-commerce
  • Sentiment analysis of social media
  • Data analytics in business intelligence
  • Federated learning for business intelligence
  • AI-based planning of business management
  • An AI-based business model innovation in new technologies
  • An analysis of social media marketing and online impulse buying behaviour

AI-Based Data Analytics: Applications for Business Management has two primary focuses. The first is on analytics for decision-making and covers big data analytics for market intelligence, data analytics and consumer behavior, and the role of big data analytics in organizational decision-making. The book's second focus is on digital marketing and includes the prediction of marketing by consumer analytics, web analytics for digital marketing, smart retailing, and leveraging web analytics for optimizing digital marketing strategies.

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Yes, you can access AI-Based Data Analytics by Kiran Chaudhary,Mansaf Alam in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgements
  8. List of Abbreviations
  9. About the Editors
  10. List of Contributors
  11. 1 Use of AI in E-Commerce
  12. 2 Sentiment Analysis of Social Media with AI
  13. 3 Unlocking the Power of Explainable AI to Improve Customer Experiences in E-Commerce
  14. 4 Business Intelligence
  15. 5 Sentiment Analysis of Social Media: Bibliometric Analysis
  16. 6 Exploring Hugging Face Transformer Library Impact on Sentiment Analysis: A Case Study
  17. 7 Data Analytics in Business Intelligence
  18. 8 Federated Learning for Business Intelligence: Predictive Maintenance in Industry 4.0
  19. 9 Role of IoT in Smart Cities: Proliferation and Challenges
  20. 10 AI-Based Planning of Business Management
  21. 11 AI-Based Business Model Innovation in New Technologies
  22. 12 Cloud Computing: Storage Management, Security, and Privacy
  23. 13 Social Media Marketing and Online Impulse Buying Behaviour: An Analysis through Website Quality as Moderator
  24. 14 Effect of Blockchain Technology on the Future of E-Commerce in India
  25. 15 Assessing the Usage of Various Data Mining Techniques for Analysis of Online Social Networks
  26. Index