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Machine Learning and Generative AI for Marketing

You're reading from   Machine Learning and Generative AI for Marketing Take your data-driven marketing strategies to the next level using Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835889404
Length 482 pages
Edition 1st Edition
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Authors (2):
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Nicholas C. Burtch Nicholas C. Burtch
Author Profile Icon Nicholas C. Burtch
Nicholas C. Burtch
Yoon Hyup Hwang Yoon Hyup Hwang
Author Profile Icon Yoon Hyup Hwang
Yoon Hyup Hwang
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Toc

Table of Contents (16) Chapters Close

Preface 1. The Evolution of Marketing in the AI Era and Preparing Your Toolkit FREE CHAPTER 2. Decoding Marketing Performance with KPIs 3. Unveiling the Dynamics of Marketing Success 4. Harnessing Seasonality and Trends for Strategic Planning 5. Enhancing Customer Insight with Sentiment Analysis 6. Leveraging Predictive Analytics and A/B Testing for Customer Engagement 7. Personalized Product Recommendations 8. Segmenting Customers with Machine Learning 9. Creating Compelling Content with Zero-Shot Learning 10. Enhancing Brand Presence with Few-Shot Learning and Transfer Learning 11. Micro-Targeting with Retrieval-Augmented Generation 12. The Future Landscape of AI and ML in Marketing 13. Ethics and Governance in AI-Enabled Marketing 14. Other Books You May Enjoy
15. Index

Summary

As we conclude our exploration of the future landscape of ML and GenAI in marketing, we have reflected on the advancements that have revolutionized marketing strategies. Throughout this book, we’ve covered how AI and data-driven insights can guide every aspect of marketing – from decoding KPIs and gathering deep customer insights to crafting compelling content and micro-targeting audiences. The landscape of AI in marketing is not only dynamic but rapidly evolving, setting the stage for further transformative changes to come.

In the next frontier of developments, we’ve highlighted emerging technologies such as multi-modal GenAI and advanced model architectures that synthesize diverse data for creating consumer-tailored content. We’ve also examined the integration of AI with novel platforms like AR and VR, which can be used to transform traditional marketing approaches into more immersive consumer experiences.

Considering the long-term implications...

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