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Generative AI for Marketing.
- Format:
- Book
- Author/Creator:
- Upadhyay, Malay A.
- Series:
- Marketing collection.
- Marketing collection
- Language:
- English
- Subjects (All):
- Artificial intelligence--Marketing applications.
- Artificial intelligence.
- Marketing--Data processing.
- Marketing.
- Marketing--Technological innovations.
- Physical Description:
- 1 online resource (180 pages)
- Edition:
- 1st ed.
- Other Title:
- Generative artificial intelligence for marketing
- Place of Publication:
- New York : Business Expert Press, 2024.
- System Details:
- Mode of access: World Wide Web.
- System requirements: Adobe Acrobat reader.
- Summary:
- Every few generations, a technoeconomic revolution topples the status quo of how work is done, creating an opportunity for new leaders to emerge. Generative AI for Marketing is meant to position the current and future marketers to become those leaders and lead their organizations in the AI era. To succeed in leveraging AI, organizations must look beyond practices that were established before the AI era. This book elucidates the evolving role and needs of Generative AI in marketing, providing a blueprint for businesses to thrive in an ever-evolving business landscape by achieving the agility and adaptability needed to sustain growth with AI.
- Contents:
- Frontcover
- Halftitle
- Title
- Copyright
- Dedication
- Description
- Contents
- Testimonials
- Foreword
- Preface
- Acknowledgments
- Part 1: The Changing Landscape of Marketing
- Chapter 1: Evolution of the Marketing Organization
- Entrée
- The Evolutionary Journey of Marketing
- The Ongoing Organizational Shift
- Dessert
- Chapter 2: Marketing in the New Organizational Realities
- The Elements of Marketing
- The New Marketing Structure
- Part 2: AI Unlocked
- Chapter 3: From Statistics to Generative AI
- The Onset of Machine Learning
- Advanced Problems, Advanced Solutions
- The Birth of Generative AI
- Chapter 4: Managing AI Journeys-Part 1
- AI and Data Readiness
- Build or Buy AI
- Chapter 5: Managing AI Journeys-Part 2
- AI Risks
- AI Governance and Policies
- Deployment
- Metrics
- Part 3: The Art of Generative AI
- Chapter 6: Generative AI's Impact on Marketing
- Resource Productivity, Hiring, and Retention
- Planning and Risk Management With Generative AI
- Chapter 7: Prompt Engineering for Generative AI
- The Need for Prompt Engineering
- Deconstructing Effective Prompts
- Prompt Use Cases
- Chapter 8: Generative AI Content
- Content Maturity
- Types of Content
- Content Use Cases
- Chapter 9: Generative AI Automation
- Automation Opportunities
- Automation Techniques
- Automation Examples
- Chapter 10: Generative AI Insights
- Insights Value
- Measurement Consideration
- Contextuality Consideration
- Part 4: Bringing It All Together
- Chapter 11: What Comes Next
- Large-Scale Operational Automation
- Improvements in Large Language Models
- Novel Applications of Generative AI.
- Socioeconomic Shift
- Chapter 12: Summary
- Part 1
- Part 2
- Part 3
- Part 4
- Notes
- References
- About the Author
- Index
- Adpage
- Backcover.
- Notes:
- Includes bibliographical references (pages 145-149) and index.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781637427170
- 1637427174
- OCLC:
- 1453502017
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