The AI Product Manager's Handbook: Develop a product that takes advantage of mac

Description: The AI Product Manager's Handbook by Irene Bratsis Unlock the power of AI and become a successful product manager with this comprehensive guide covering the strategies, techniques, and tools to build, launch, and manage AI products. From the basics of AI to navigating ethical and legal considerations, this book covers everything you need to know to drive product development and growth in the AI industry. FORMAT Paperback CONDITION Brand New Publisher Description Master the skills required to become an AI product manager and drive the successful development and deployment of AI products to deliver value to your organization.Purchase of the print or Kindle book includes a free PDF eBook.Key FeaturesBuild products that leverage AI for the common good and commercial successTake macro data and use it to show your customers youre a source of truthBest practices and common pitfalls that impact companies while developing AI productBook DescriptionProduct managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book 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 book 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.Youll 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. Youll 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, youll stay ahead of the curve in the rapidly evolving field of AI and ML.By the end of this book, youll have understood how to navigate the world of AI from a product perspective.What you will learnBuild AI products for the future using minimal resourcesIdentify opportunities where AI can be leveraged to meet business needsCollaborate with cross-functional teams to develop and deploy AI productsAnalyze the benefits and costs of developing products using ML and DLExplore the role of ethics and responsibility in dealing with sensitive dataUnderstand performance and efficacy across verticalsWho this book is forThis book is for product managers and other professionals interested in incorporating AI into their products. Foundational knowledge of AI is expected. If you understand the importance of AI as the rising fourth industrial revolution, this book will help you surf the tidal wave of digital transformation and change across industries. Author Biography Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelors in economics, and after completing various MOOCs in data science and big data analytics, she completed a data science program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books. Table of Contents Table of ContentsUnderstanding the Infrastructure and Tools for Building AI ProductsModel Development and Maintenance for AI ProductsMachine Learning and Deep Learning Deep DiveCommercializing AI ProductsAI Transformation and Its Impact on Product ManagementUnderstanding the AI-Native ProductProductizing the ML ServiceCustomization for Verticals, Customers, and Peer GroupsMacro and Micro AI for Your ProductBenchmarking Performance, Growth Hacking, and CostThe Rising Tide of AITrends and Insights across IndustryEvolving Products into AI Products Details ISBN1804612936 Author Irene Bratsis Publisher Packt Publishing Limited Year 2023 ISBN-13 9781804612934 Format Paperback Imprint Packt Publishing Limited Subtitle Develop a product that takes advantage of machine learning to solve AI problems Place of Publication Birmingham Country of Publication United Kingdom Pages 250 AU Release Date 2023-03-17 NZ Release Date 2023-03-17 ISBN-10 1804612936 DEWEY 006.3 Audience Professional & Vocational Publication Date 2023-02-28 UK Release Date 2023-02-28 Replaced by 9781835882849 We've got this At The Nile, if you're looking for it, we've got it. 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