Successful AI Product Creation: A 9-Step Framework
Successful AI Product Creation: A 9-Step Framework by Shub Agarwal
English | April 15, 2025 | ISBN: 1394337841 | 304 pages | MOBI | 9.11 Mb
English | April 15, 2025 | ISBN: 1394337841 | 304 pages | MOBI | 9.11 Mb
The Essential Guide to AI and Generative AI Product Creation from a Veteran AI Leader and Educator
In Successful AI Product Creation: A 9-Step Framework, AI product leader, professor of product management and AI, and industry expert, Prof. Shub Agarwal delivers the ultimate playbook―a comprehensive, step-by-step guide to Building, Scaling, and Integrating AI and Generative AI into real-world products. Drawing from over two decades of experience, this comprehensive guide bridges the gap between AI technology and business impact, ensuring you can navigate the AI revolution with confidence.
Featuring Forewords by:
- Ted Shelton, Chief Operating Officer at Inflection AI (co-founded by Reid Hoffman)
- Dr. Jia Li, Co-Founder and Chief AI Officer at LiveX AI; Founding Head of R&D at Google Cloud AI; AI Professor at Stanford
- Complete 9-Step AI Product Creation Framework: Master the entire AI product lifecycle from discovery and experimentation to scaling, governance, and AI model lifecycle management.
- 20+ Real-World Case Studies: Learn from successful AI implementations across healthcare, finance, e-commerce, retail, manufacturing, and big tech companies like Google, Meta, Amazon, and Apple.
- Traditional AI vs. Generative AI: Understand when to use each approach, how to leverage models like GPT and transformers, and key differences in adoption strategies.
- AI Model Performance and Ethics: Address challenges like bias, fairness, model drift, and regulatory compliance.
- Practical Tools and Templates: Access decision-making frameworks, checklists, and internal diagrams that guide seamless execution.
- AI Product Managers and Tech Leaders: A strategic and tactical guide for AI integration.
- Entrepreneurs and Founders: Leverage AI for competitive advantage and scalability.
- Business Executives and Decision-Makers: Understand AI's potential for growth and optimization.
- Students and Aspiring AI PMs: Develop industry-ready skills through real-world case studies.
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