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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
Languages
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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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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

The Evolution of Marketing in the AI Era and Preparing Your Toolkit

In the age of information, the marketing landscape has been fundamentally transformed by the emergence of data science and artificial intelligence/machine learning (AI/ML) technologies. This transformation has reshaped the tools and methodologies marketers employ and redefined how brands engage with their customers. It has resulted in a shift in marketing strategies from targeted advertising to more personalized customer experiences, as well as the usage of more data-driven, efficient, and impactful marketing practices. This book aims to give you the knowledge and skills that you will need to navigate and leverage this transformation. We will provide you with a comprehensive toolkit that will allow you to master data-driven marketing strategies, enhance customer engagement, and stay competitive in the evolving digital landscape.

In this chapter, we begin our journey through the evolution of marketing in the AI era, exploring the core data science and AI/ML techniques that are shaping the future of marketing. We will take a look at the history of marketing technologies, the rise of digital marketing, and the key role that AI/ML plays in revolutionizing the field.

This chapter will also guide you through setting up your Python environment, allowing you to implement AI/ML in your marketing projects, and will introduce you to the essential tools and libraries that will be used throughout this book. We will then walk through an end-to-end example demonstrating some basic best practices when developing an ML model. This foundational knowledge will give you insight into how you can navigate the complex yet exciting field of AI/ML-driven marketing, opening up new opportunities for innovation and growth in your marketing strategies.

In particular, we will cover the following topics in this chapter:

  • The evolution of marketing with AI/ML
  • Core data science techniques in marketing
  • Setting up the Python environment for AI/ML projects

This foundational chapter sets the stage for the advanced discussions that follow, ensuring that you have the requisite knowledge and tools to fully engage with the AI/ML methodologies that will be explored in subsequent chapters.

You have been reading a chapter from
Machine Learning and Generative AI for Marketing
Published in: Aug 2024
Publisher: Packt
ISBN-13: 9781835889404
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