Whether you’re a seasoned professional or a newcomer to the world of AI product management, this is your definitive guide. Embark on a transformative journey into the future of intelligent product management.
Key Features
- Chart a successful career path in the AI product management field
- Packed with real-world examples, practical insights, and actionable strategies
- Navigate the complexities of AI product development and evolve your existing products
Book Description
This book will provide you with a detailed roadmap for successfully building, maintaining, and evolving artificial intelligence (AI)-driven products, serving as an indispensable companion on your journey to becoming an effective AI PM.
We’ll explore the AI landscape, demystify complex terms, and walk you through infrastructure, algorithms, and deployment strategies. You’ll master essential skills to understand the optimal flow of AI processes, learn about the product development life cycle from ideation to deployment, and familiarize yourself with commonly used model development techniques. We’ll discuss the intricacies of building products natively with AI, as well as evolving traditional software product to AI products. Regardless of your use case, we’ll show you how you can craft compelling stories to captivate your audience. We’ll help you find the right balance between foundational product design elements and the unique aspects of managing AI products, so you can prioritize wisely. We’ll also explore career considerations for AI PMs.
By the end of this book, you will understand the importance of AI integration and be able to explore emerging AI/ML models like Generative AI and LLMs. You’ll discover open-source capabilities and best practices for ideating, building, and deploying AI products across verticals.
What you will learn
- Plan your AI PM roadmap and navigate your career with clarity and confidence
- Gain a foundational understanding of AI/ML capabilities
- Align your product strategy, nurture your team, and navigate the ongoing challenges of cost, tech, compliance, and risk management
- Identify pitfalls and green flags for optimal commercialization
- Separate hype from reality and identify quick wins for AI enablement and GenAI
- Understand how to develop and manage both native and evolving AI products
- Benchmark product success from a holistic perspective
Who this book is for
This book is for aspiring and experienced product managers, as well as other professionals interested in incorporating AI into their products. Foundational knowledge of AI is expected and reinforced. If you are looking to better understand machine learning principles and data science methodologies, you will benefit from this book, particularly if you’re in a role where the application of AI/ML directly influences marketing outcomes and business strategies.
Table of Contents
- Understanding the Infrastructure and Tools for Building AI Products
- Model Development and Maintenance for AI Products
- Deep Learning Deep Dive
- Commercializing AI Products
- AI Transformation and Its Impact on Product Management
- Understanding the AI-Native Product
- Productizing the ML Service
- Customization for Verticals, Customers, and Peer Groups
- Product Design for the AI-Native Product
- Benchmarking Performance, Growth Hacking, and Cost
- Managing the AI Native Product
- Rising Tide of AI
- Trends & Insights Across Industry
- Evolving products into AI products
- The role of design when products evolve to embrace AI
(N.B. Please use the Read Sample option to see further chapters)
Mastering Computer Vision with PyTorch 2.0
