Using AI in Marketing : : An Introduction / / Greg Kihlstrom.

• VerfasserIn: Kihlstrom, Greg,
• Place / Publishing House: Dulles, VA : : Mercury Learning and Information, , [2024]; 2024
• Year of Publication: 2024
• Language: English
• Series: MLI Generative AI Series
• Physical Description: 1 online resource (136 p.)
• Other title: Frontmatter --; Contents --; Acknowledgments --; About the Author --; Foreword --; Introduction --; Part I: Exploring AI and Marketing --; Chapter 1: A Brief History of AI --; Chapter 2: Understanding AI and Marketing --; Chapter 3: The Current Use of AI in Marketing --; Part II: Growth Areas for Marketing and AI --; Chapter 4: Generative AI --; Chapter 5: Personalized Customer Experience --; Chapter 6: Team and Workflow Augmentation --; Chapter 7: Data Analysis, Measurement, and Optimization --; Part III: Practical Examples --; Chapter 8: Improving Prompt Writing --; Chapter 9: Generative AI Cases and Examples --; Part IV: Integration and Optimization of AI and Marketing --; Chapter 10: The AI Adoption Mindset --; Chapter 11: How AI Changes Your Marketing Approach --; Chapter 12: When and Where to Invest in AI --; Chapter 13: Challenges of AI --; Epilogue --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9781501519765
• DOI: 10.1515/9781501519765
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Greg Kihlstrom.

In today's dynamic marketing landscape, artificial intelligence (AI) stands at the forefront of innovation, offering unprecedented opportunities for marketers. This book enables marketing professionals to harness the power of AI, featuring in-depth discussions on key topics such as generative AI, personalized customer experiences, team and workflow augmentation, and data analysis optimization. It is divided into four parts, each addressing a different aspect of AI and marketing. Part I covers the fundamentals of AI in marketing, including machine learning and generative AI. Part II explores growth areas for marketing and AI, using generative AI and customer journey personalization. Part III goes into detail about how to use AI, particularly generative AI tools, to enhance the marketing function. Part IV is about integration and optimization, providing insights on when and where to invest in AI and how to prepare your team for an AI-driven marketing future.