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AI Product Manager's Handbook
AI Product Manager's Handbook

AI Product Manager's Handbook: Build, integrate, scale, and optimize products to grow as an AI product manager , Second Edition

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Profile Icon Irene Bratsis
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€18.99 per month
Paperback Nov 2024 484 pages 2nd Edition
eBook
€26.98 €29.99
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€37.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Irene Bratsis
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€18.99 per month
Paperback Nov 2024 484 pages 2nd Edition
eBook
€26.98 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€26.98 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m

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AI Product Manager's Handbook

Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well

An AI product manager needs to have a comprehensive understanding of AI, along with all the varied components that lead to its success, if they’re going to be successful in commercializing their products. This first part consists of five chapters that will cover what the term AI encompasses and how to support infrastructure to make it successful within your organization. It will also cover how to support your AI program from a maintenance perspective, navigate the vast areas of machine learning (ML) and deep learning (DL), choose the best path for your product, and understand current and future developments in AI products.

By the end of this part, you will understand AI terms and components, what AI implementation means from an investment perspective, how to maintain AI products sustainably, and how to choose between the types of AI that would best fit your product and market. You will also learn about the success factors for ideating and building a minimum viable product (MVP) and how to make a product that truly serves its market.

This part comprises the following chapters:

  • Chapter 1, Understanding the Infrastructure and Tools for Building AI Products
  • Chapter 2, Model Development and Maintenance for AI Products
  • Chapter 3, Deep Learning Deep Dive
  • Chapter 4, Commercializing AI Products
  • Chapter 5, AI Transformation and Its Impact on Product Management
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Key benefits

  • 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 

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 29, 2024
Length: 484 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835882849
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Languages :

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Product Details

Publication date : Nov 29, 2024
Length: 484 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835882849
Category :
Languages :

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Table of Contents

25 Chapters
Part 1: Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well Chevron down icon Chevron up icon
Understanding the Infrastructure and Tools for Building AI Products Chevron down icon Chevron up icon
Model Development and Maintenance for AI Products Chevron down icon Chevron up icon
Deep Learning Deep Dive Chevron down icon Chevron up icon
Commercializing AI Products Chevron down icon Chevron up icon
AI Transformation and Its Impact on Product Management Chevron down icon Chevron up icon
Part 2: Building an AI-Native Product Chevron down icon Chevron up icon
Understanding the AI-Native Product Chevron down icon Chevron up icon
Productizing the ML Service Chevron down icon Chevron up icon
Customization for Verticals, Customers, and Peer Groups Chevron down icon Chevron up icon
Product Design for the AI-Native Product Chevron down icon Chevron up icon
Benchmarking Performance, Growth Hacking, and Cost Chevron down icon Chevron up icon
Managing the AI-Native Product Chevron down icon Chevron up icon
Part 3: Integrating AI into Existing Traditional Software Products Chevron down icon Chevron up icon
The Rising Tide of AI Chevron down icon Chevron up icon
Trends and Insights Across Industry Chevron down icon Chevron up icon
Evolving Products into AI Products Chevron down icon Chevron up icon
The Role of AI Product Design Chevron down icon Chevron up icon
Managing the Evolving AI Product Chevron down icon Chevron up icon
Part 4: Managing the AI PM Career Chevron down icon Chevron up icon
Starting a Career as an AI PM Chevron down icon Chevron up icon
What Does It Mean to Be a Good AI PM? Chevron down icon Chevron up icon
Maturing and Growing as an AI PM Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
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