Product managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This audiobook covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed.
The first part of the audiobook focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products.
You’ll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You’ll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you’ll stay ahead of the curve in the rapidly evolving field of AI and ML.
By the end of this audiobook, you’ll have understood how to navigate the world of AI from a product perspective.

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Spis treści

The AI Product Manager's Handbook. Develop a product that takes advantage of machine learning to solve AI problems Audiobook -- spis treści

• . Irene Bratsis
• 1. Opening Credits
• 2. Dedication and Contributors
• 3. Preface
• 4. Understanding the Infrastructure and Tools for Building AI Products
• 5. Model Development and Maintenance for AI Products
• 6. Machine Learning and Deep Learning Deep Dive
• 7. Commercializing AI Products
• 8. AI Transformation and Its Impact on Product Management
• 9. Understanding the AI-Native Product
• 10. Productizing the ML Service
• 11. Customization for Verticals, Customers, and Peer Groups
• 12. Macro and Micro AI for Your Product
• 13. Benchmarking Performance, Growth Hacking, and Cost
• 14. The Rising Tide of AI
• 15. Trends and Insights across Industry
• 16. Evolving Products into AI Products
• 17. Closing Credits