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This comprehensive guide equips product managers with essential knowledge and tools to thrive in the rapidly evolving realms of AI and Machine Learning. It bridges traditional product management practices with the innovative techniques required for developing AI-powered products. Key areas covered include the significance of Machine Learning and AI in product management, mastering business strategy through traditional algorithms and hypothesis testing, and understanding core concepts like Deep Learning and the distinctions between Supervised, Unsupervised, and Reinforcement Learning. The book also addresses product discovery with AI, focusing on problem identification, user research methods, and prototyping. It provides insights into effective data management strategies, including data growth, open data, and crowdsourcing. Additionally, it delves into product development methodologies, prioritization, and agile practices, alongside building and evaluating high-performance AI models. Readers will learn about managing trial phases in product deployment, continuous monitoring, and feedback implementation. The guide emphasizes effective management of Data Scientists and ML Engineers, enhancing communication skills with stakeholders, and addressing privacy and bias concerns in AI. Concluding with a forward-looking exploration of product management's future, this resource is invaluable for both seasoned and new product managers se
Achat du livre
The AI-Powered Product Manager, Luis Jurado
- Langue
- Année de publication
- 2023
- Reliure
- (souple)
Modes de paiement
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- Titre
- The AI-Powered Product Manager
- Sous-titre
- Combining Strategy and Technology
- Langue
- Anglais
- Auteurs
- Luis Jurado
- Éditeur
- Luis Jurado
- Publié
- 2023
- Format
- souple
- Pages
- 414
- ISBN10
- 1739400429
- ISBN13
- 9781739400422
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Informatique & Internet, Intelligence Artificielle, Traitement du langage naturel
- Description
- This comprehensive guide equips product managers with essential knowledge and tools to thrive in the rapidly evolving realms of AI and Machine Learning. It bridges traditional product management practices with the innovative techniques required for developing AI-powered products. Key areas covered include the significance of Machine Learning and AI in product management, mastering business strategy through traditional algorithms and hypothesis testing, and understanding core concepts like Deep Learning and the distinctions between Supervised, Unsupervised, and Reinforcement Learning. The book also addresses product discovery with AI, focusing on problem identification, user research methods, and prototyping. It provides insights into effective data management strategies, including data growth, open data, and crowdsourcing. Additionally, it delves into product development methodologies, prioritization, and agile practices, alongside building and evaluating high-performance AI models. Readers will learn about managing trial phases in product deployment, continuous monitoring, and feedback implementation. The guide emphasizes effective management of Data Scientists and ML Engineers, enhancing communication skills with stakeholders, and addressing privacy and bias concerns in AI. Concluding with a forward-looking exploration of product management's future, this resource is invaluable for both seasoned and new product managers se