Mastering AdTech Using AI, ML & Data Science - Product Managers Handbook

In "Mastering AdTech Using AI, ML & Data Science - Product Managers Handbook," we delve into the dynamic and ever-evolving world of advertising technology (AdTech). As technology continues to shape the landscape of digital advertising, understanding the intersection of artificial intelligence (AI), machine learning (ML), and data science is paramount for success.

The book provides a comprehensive guide for product managers navigating the complex realm of AdTech in 2024. From understanding the evolution of AdTech to leveraging advanced AI and ML tools, each chapter offers invaluable insights and practical strategies to harness the power of data-driven advertising.

**Table of Contents:**

1. Introduction to AdTech in 2024: Explore the evolution of AdTech, the role of product managers, and key trends shaping the industry in 2024.

2. Understanding AI, ML & Data Science Role in AdTech: Delve into the fundamentals of AI in advertising, leveraging ML for targeting and personalization, and harnessing data science for insights and optimization.

3. The Role of Product Managers in AdTech Platforms: Learn about strategic vision, stakeholder engagement, product development, user-centric design, and performance monitoring from a product manager's perspective.

4. Building the Best Products with AI & ML Tools: Discover strategies for incorporating AI and ML into AdTech platforms, implementing solutions, and automating processes with microservices architecture.

5. Data Science Techniques for Complex Data Points: Understand the role of data science, building and maintaining data lakes, advanced analytics, and ensuring data quality, privacy, and compliance.

6. Optimizing AdTech Products for Success: Learn about continuous improvement, experimentation, key metrics, adapting to market trends, and emerging technologies.

7. Future Trends & Predictions for AdTech: Explore opportunities, challenges, emerging technologies, and predictions for the future evolution of AdTech products.

8. Use Cases and Case Studies: Dive into real-world examples of targeted advertising, real-time bidding, attribution modeling, content recommendation, predictive analytics, voice and visual search advertising, privacy-preserving AI solutions, and ethical considerations.

In addition, the appendix provides recommended books, articles, tools, software, and online courses for further exploration.

"Mastering AdTech Using AI, ML & Data Science - Product Managers Handbook" is an essential resource for product managers, marketers, and professionals in the AdTech industry seeking to stay ahead of the curve and drive innovation in advertising technology.