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Das Handbuch des KI-Produktmanagers: Entwickeln Sie ein Produkt, das die Vorteile von...

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Book Title
The AI Product Manager's Handbook
ISBN-13
9781804612934
ISBN
9781804612934

Über dieses Produkt

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1804612936
ISBN-13
9781804612934
eBay Product ID (ePID)
2330265120

Product Key Features

Number of Pages
250 Pages
Publication Name
The AI Product Manager's Handbook : Develop a Product That Takes Advantage of Machine Learning to Solve AI Problems
Language
English
Publication Year
2023
Subject
Data Modeling & Design, General
Type
Textbook
Author
Irene Bratsis
Subject Area
Computers, Science
Format
Trade Paperback

Dimensions

Item Length
92.5 in
Item Width
75 in

Additional Product Features

Intended Audience
Trade
Table Of Content
Table of Contents Understanding the Infrastructure and Tools for Building AI Products Model Development and Maintenance for AI Products Machine Learning and Deep Learning Deep Dive Commercializing AI Products AI Transformation and Its Impact on Product Management Understanding the AI-Native Product Productizing the ML Service Customization for Verticals, Customers, and Peer Groups Macro and Micro AI for Your Product Benchmarking Performance, Growth Hacking, and Cost The Rising Tide of AI Trends and Insights across Industry Evolving Products into AI Products
Synopsis
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 ..., 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 Features Build products that leverage AI for the common good and commercial success Take macro data and use it to show your customers you're a source of truth Best practices and common pitfalls that impact companies while developing AI product Book Description Product 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.You'll 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. You'll 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, you'll stay ahead of the curve in the rapidly evolving field of AI and ML.By the end of this book, you'll have understood how to navigate the world of AI from a product perspective. What you will learn Build AI products for the future using minimal resources Identify opportunities where AI can be leveraged to meet business needs Collaborate with cross-functional teams to develop and deploy AI products Analyze the benefits and costs of developing products using ML and DL Explore the role of ethics and responsibility in dealing with sensitive data Understand performance and efficacy across verticals Who this book is for This 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. ]]>, 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 Features Build products that leverage AI for the common good and commercial success Take macro data and use it to show your customers you're a source of truth Best practices and common pitfalls that impact companies while developing AI product Book Description Product 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. You'll 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. You'll 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, you'll stay ahead of the curve in the rapidly evolving field of AI and ML. By the end of this book, you'll have understood how to navigate the world of AI from a product perspective. What you will learn Build AI products for the future using minimal resources Identify opportunities where AI can be leveraged to meet business needs Collaborate with cross-functional teams to develop and deploy AI products Analyze the benefits and costs of developing products using ML and DL Explore the role of ethics and responsibility in dealing with sensitive data Understand performance and efficacy across verticals Who this book is for This 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. Table of Contents Understanding the Infrastructure and Tools for Building AI Products Model Development and Maintenance for AI Products Machine Learning and Deep Learning Deep Dive Commercializing AI Products AI Transformation and Its Impact on Product Management Understanding the AI-Native Product Productizing the ML Service Customization for Verticals, Customers, and Peer Groups Macro and Micro AI for Your Product Benchmarking Performance, Growth Hacking, and Cost The Rising Tide of AI Trends and Insights across Industry Evolving Products into AI Products
LC Classification Number
Q335

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