AI Product Manager's Handbook Build, Integrate, Scale, and Optimize Products to grow in your AI Product Management

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Free Download AI Product Manager's Handbook: Build, Integrate, Scale, and Optimize Products to grow in your AI Product Management journey by Irene Bratsis
English | December 10, 2024 | ISBN: N/A | ASIN: B0D6WGT6B2 | EPUB | 1.95 Mb
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 FeaturesChart a successful career path in the Product Management fieldPacked with real-world examples, practical insights, and actionable strategiesNavigate the complexities of AI product development, evolve your existing productsBook Description
This book serves as your indispensable companion, providing a detailed roadmap for successfully building, maintaining, and evolving AI-driven products.
We'll explore the AI landscape, demystify complex terms, and gain insights into infrastructure, algorithms, and deployment strategies. Master the essential skills to understand the optimal flow of AI processes. We'll guide you through the nuances of model development, from linear regression to deep learning neural networks. You'll learn when a model is market-ready, the intricacies of deployment, and crucial testing and troubleshooting strategies. Rely on consistency and MLOps, and nurturing strong customer relationships. Finally, we'll explore the intricacies of retraining, tuning parameters, and establishing a feedback loop. You'll master the art of designing AI-native products as well as getting traditional software products AI ready and craft compelling stories to captivate your audience. We'll help you find the right balance between foundational design elements and the unique aspects of AI-native products, so you can prioritize wisely.
By the end of this book, you will understand the imperative of integrating AI into existing products. Explore the evolution of Generative AI and LLMs, as well as discover the rise of open-source capabilities that are available to you.
What you will learnPlan your AI PM roadmap, and prepare yourself for interviewsAlign your product strategy, nurture your team, and navigate the ongoing challenges of cost, tech, compliance, and risk managementIdentify pitfalls and green flags for optimal commercializationSeparate hype from reality, identify quick wins for AI enablement and GenAIFundamentals of building and developing a product with AI nativelyBenchmark product success from a holistic perspectiveWho 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. Those looking to better understand machine learning principles and data science methodologies will benefit from this book, particularly if they're in roles where the application of AI/ML directly influences marketing outcomes and business strategies.
Table of ContentsWhat is AI?Model MaintenanceMachine Learning and Deep Learning Deep DivePromising Developments in AI ProductsWhat's next in AI Products?Understanding the AI native productProductizing a ML ServiceCustomization for Verticals, Customers & Peer GroupsMacro and Micro AIProduct Design for the AI Native ProductBenchmarking Performance, Cost & Growth HackingManaging the AI Native ProductRising Tide of AITrends & Insights Across IndustryEvolving products into AI productsThe role of design when products evolve to embrace AIManaging the Evolving AI ProductStarting a career in AI PMWhat does it mean to be a good AI PM?The Evergreen Learner: Maturing and growing in AI PM

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