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The AI Product Manager's Handbook

You're reading from   The AI Product Manager's Handbook Develop a product that takes advantage of machine learning to solve AI problems

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781804612934
Length 250 pages
Edition 1st Edition
Languages
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Author (1):
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Irene Bratsis Irene Bratsis
Author Profile Icon Irene Bratsis
Irene Bratsis
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Table of Contents (19) Chapters Close

Preface 1. Part 1 – Lay of the Land – Terms, Infrastructure, Types of AI, and Products Done Well
2. Chapter 1: Understanding the Infrastructure and Tools for Building AI Products FREE CHAPTER 3. Chapter 2: Model Development and Maintenance for AI Products 4. Chapter 3: Machine Learning and Deep Learning Deep Dive 5. Chapter 4: Commercializing AI Products 6. Chapter 5: AI Transformation and Its Impact on Product Management 7. Part 2 – Building an AI-Native Product
8. Chapter 6: Understanding the AI-Native Product 9. Chapter 7: Productizing the ML Service 10. Chapter 8: Customization for Verticals, Customers, and Peer Groups 11. Chapter 9: Macro and Micro AI for Your Product 12. Chapter 10: Benchmarking Performance, Growth Hacking, and Cost 13. Part 3 – Integrating AI into Existing Non-AI Products
14. Chapter 11: The Rising Tide of AI 15. Chapter 12: Trends and Insights across Industry 16. Chapter 13: Evolving Products into AI Products 17. Index 18. Other Books You May Enjoy

Managing costs and pricing – AI is expensive

Formulating a pricing strategy will be a highly personalized experience that will involve a number of factors, from the comparative prices of your competition to the operating costs for managing your AI/ML infrastructure and workflows. In this section, we will briefly cover the various aspects of AI product management that impact costs and how to use this knowledge to inform your pricing strategy so that you’re aware of the main contributors to your AI/ML program costs.

Let’s first start with the cost of AI/ML resources themselves. According to WebFX (https://www.webfx.com/martech/pricing/ai/), most AI consultants charge between $200-$350 an hour and the cost of a custom AI solution is anywhere from $6,000 to $300,000. Using third-party AI software instead can cost anywhere from $0 to $40,000 annually.

It might be tempting to build an AI/ML-native product around consultants, but it’s not the best practice...

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