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The AI-Powered Product Manager: Combining Strategy and Technology
The AI-Powered Product Combining Strategy and Technology is a comprehensive guide designed to equip product managers with the knowledge and tools needed to excel in the rapidly evolving world of AI and Machine Learning. This book aims to bridge the gap between traditional product management practices and the cutting-edge techniques needed to develop and manage AI-powered products.
In this 400+ page guide, you will delve deep into the following key the growing importance of Machine Learning and AI in product management and why it is crucial to learn the correct procedures.Mastering the art of business strategy for Machine Learning and AI by exploring traditional algorithms, ML and AI model innovations, and hypothesis building and testing.Grasping essential technology and concepts, including Machine Learning, Deep Learning, and the differences between Supervised, Unsupervised, and Reinforcement Learning.Navigating product discovery with AI, identifying problems and opportunities, user research methods, developing user personas, and prototyping with ML and AI.Implementing the best advice and trends in data management for ML and AI, including data growth strategies, open data, company data, and crowdsourcing labelled data.Excelling at product development for ML/AI, such as problem-solving approaches, prioritisation, MVP and MVD concepts, agile methodologies, and Data Kanban in product development.Building and evaluating high-performance AI models while setting model performance metrics, understanding test data, and optimising for user experience.Mastering trial phases in ML and AI product deployment, defining success criteria, selecting the right models, minimising bias, and scaling successful trials.Streamlining deployment and continuous deployment, monitoring models, selecting feedback metrics, implementing user feedback loops, and shadow deployments.Learning how to manage Data Scientists and ML Engineers effectively, understanding ML and AI hierarchy needs and roles, and managing team workflows.Improving communication skills with internal stakeholders, setting data expectations, active listening, compelling storytelling, and running effective meetings.Addressing privacy and bias concerns in AI and Machine Learning, understanding user concerns, security issues, AI amplifying human bias, and adhering to data laws and regulations.
In addition, the book concludes with a thoughtful exploration of the future of product management and Machine Learning, offering a summary of key takeaways and recommendations for continued learning.
Whether you are a seasoned product manager or just starting your career in this dynamic field, The AI-Powered Product Combining Strategy and Technology is your indispensable resource for mastering the knowledge and skills needed to thrive in the age of AI and Machine Learning.
Equip yourself with the insights and expertise necessary to excel in this exciting domain and stay ahead of the curve in today's competitive market.
In this 400+ page guide, you will delve deep into the following key the growing importance of Machine Learning and AI in product management and why it is crucial to learn the correct procedures.Mastering the art of business strategy for Machine Learning and AI by exploring traditional algorithms, ML and AI model innovations, and hypothesis building and testing.Grasping essential technology and concepts, including Machine Learning, Deep Learning, and the differences between Supervised, Unsupervised, and Reinforcement Learning.Navigating product discovery with AI, identifying problems and opportunities, user research methods, developing user personas, and prototyping with ML and AI.Implementing the best advice and trends in data management for ML and AI, including data growth strategies, open data, company data, and crowdsourcing labelled data.Excelling at product development for ML/AI, such as problem-solving approaches, prioritisation, MVP and MVD concepts, agile methodologies, and Data Kanban in product development.Building and evaluating high-performance AI models while setting model performance metrics, understanding test data, and optimising for user experience.Mastering trial phases in ML and AI product deployment, defining success criteria, selecting the right models, minimising bias, and scaling successful trials.Streamlining deployment and continuous deployment, monitoring models, selecting feedback metrics, implementing user feedback loops, and shadow deployments.Learning how to manage Data Scientists and ML Engineers effectively, understanding ML and AI hierarchy needs and roles, and managing team workflows.Improving communication skills with internal stakeholders, setting data expectations, active listening, compelling storytelling, and running effective meetings.Addressing privacy and bias concerns in AI and Machine Learning, understanding user concerns, security issues, AI amplifying human bias, and adhering to data laws and regulations.
In addition, the book concludes with a thoughtful exploration of the future of product management and Machine Learning, offering a summary of key takeaways and recommendations for continued learning.
Whether you are a seasoned product manager or just starting your career in this dynamic field, The AI-Powered Product Combining Strategy and Technology is your indispensable resource for mastering the knowledge and skills needed to thrive in the age of AI and Machine Learning.
Equip yourself with the insights and expertise necessary to excel in this exciting domain and stay ahead of the curve in today's competitive market.
414 pages, Kindle Edition
Published May 3, 2023
6 people are currently reading
29 people want to read
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Displaying 1 - 7 of 7 reviews
October 28, 2024
Much/most of this was written by AI. At least, that was my overwhelming sense. Overall, it was fairly basic (except for the occasional name drop of advanced machine learning and statistical analysis techniques that were then not defined - just listed), very repetitive (I lost count of how many times the strategy of cross-functional team communication was recommended), and very dry. I don't remember a single real world example or story, just very academic outlines and seemingly exhaustive lists. Still, I'll keep it on my shelf as there are some helpful processes and term definitions that may come in handy later.
October 8, 2023
An enlightening read! 'THE AI POWERED PRODUCT MANAGER' brilliantly bridges the gap between AI theory and practical product management. Essential for modern PMs navigating the AI-driven landscape. Highly recommended.
October 12, 2023
An indispensable guide for PMs navigating the AI landscape! The book perfectly blends strategy and technology, demystifying complex concepts. It has been pivotal in refining my product strategies, enabling a more cohesive and innovative approach towards AI-integrated products.
June 12, 2024
Very misleading title -instead of talking how AI can help a PM to do their job the book is about Product Management for AI/ML.
Kind of-as in reality it just recycles known ideas, like MVP, by adding “AI/ML�: � Why MVP is importan for AI/ML products�, etc.
Kind of-as in reality it just recycles known ideas, like MVP, by adding “AI/ML�: � Why MVP is importan for AI/ML products�, etc.
October 12, 2023
This book has instilled in me the confidence to lead tech teams with a more informed stance.
October 12, 2023
The AI-Powered Product Manager is like a course in itself. A treasure trove for students aiming for a career in PM.
October 14, 2023
A Data Scientist's Perspective! I always wanted to collaborate better with PMs. This book gave me the insights to understand their world, enhancing our teamwork significantly.
Displaying 1 - 7 of 7 reviews
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