MLI Generative AI Series
eBook - ePub

MLI Generative AI Series

  1. 566 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

MLI Generative AI Series

Book details
Table of contents
Citations

About This Book

This book presents a comprehensive and innovative exploration of the role of Artificial Intelligence (AI) in thedigital marketing arena. It begins with historical context and fundamental AI principles, and subsequently, details AI's applications across a spectrum of areas, including data analytics, content creation, customer targeting, Search Engine Optimization (SEO), Pay Per Click (PPC) advertising, Social Media Marketing (SMM), and Email Marketing. A distinctive feature lies in the author's extensive real-world experience, providing many useful business applications of AI. The book is designed for marketing professionals, business executives, educators, and students, and offers numerous examples and case studies. FEATURES:

  • Underscores the significance of content marketing in the AI era, covering AI-driven content creation, content curation, and search engine optimization
  • Examines social media marketing in detail, with valuable insights into social media listening, chatbots, using Google Ads™, and influencer marketing
  • Provides a comprehensive section on paid advertising and paid social media, revealing programmatic advertising, ad creative, and machine learning-driven ad campaign optimization
  • Includes ethical considerations and legal aspects about privacy and data protection

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Yes, you can access MLI Generative AI Series by Maria Johnsen in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Technology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Mercury Learning and Information
Year
2024
ISBN
9781501519185
Topic
Computer Science
Subtopic
Information Technology
Index
Computer Science

Table of contents

  1. Cover
  2. Half title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Chapter 1 The Role of AI in Digital Marketing
  8. Chapter 2 Understanding Artificial Intelligence
  9. Chapter 3 Harnessing Data and Analytics in AI Digital Marketing
  10. Chapter 4 Machine Learning and Deep Learning Foundation
  11. Chapter 5 Natural Language Processing in Digital Marketing
  12. Chapter 6 Personalization and Customer Segmentation with AI
  13. Chapter 7 Predictive Analytics for Targeted Marketing
  14. Chapter 8 Behavioral Analysis and Customer Profiling
  15. Chapter 9 Content Creation with Artificial Intelligence
  16. Chapter 10 Emotional Search Engine
  17. Chapter 11 AI in Search Engines
  18. Chapter 12 Enhancing Search Engine Optimization
  19. Chapter 13 Social Media Listening and Sentiment Analysis
  20. Chapter 14 Chatbots and Conversational AI
  21. Chapter 15 Influencer Marketing in the Age of AI
  22. Chapter 16 The Latest AI Trends in Digital Marketing
  23. Chapter 17 Leveraging AI for Email Marketing Campaigns
  24. Chapter 18 Marketing Automation and Workflow Optimization
  25. Chapter 19 A/B Testing and Optimization with AI
  26. Chapter 20 AI in Multichannel and Omnichannel Marketing
  27. Chapter 21 Programmatic Advertising and Real-Time Bidding
  28. Chapter 22 Creative Ad Design with AI
  29. Chapter 23 Ad Campaign Optimization with Machine Learning
  30. Chapter 24 AI-Powered Customer Service and Support
  31. Chapter 25 Churn Prediction and Customer Retention Strategies
  32. Chapter 26 Cross-Selling and Upselling with AI
  33. Chapter 27 Privacy and Data Protection in AI Marketing
  34. Chapter 28 Ethical AI Practices and Bias Mitigation
  35. Chapter 29 Key Performance Indicators for AI Marketing
  36. Chapter 30 ROI and Cost-Benefit Analysis
  37. Chapter 31 Dynamic Factors Reshaping the Future of AI in Digital Marketing
  38. Bibliography
  39. Appendix A
  40. Appendix B
  41. Appendix C
  42. Glossary
  43. About the Author
  44. Index