| 書目名稱 | Managing AI in the Enterprise | | 副標題 | Succeeding with AI P | | 編輯 | Klaus Haller | | 視頻video | http://file.papertrans.cn/623/622893/622893.mp4 | | 概述 | Shows how to manage AI projects and run an AI delivery organization in an enterprise or large organization.Helps data scientists to advance in their career into management roles.Enables experienced ma | | 圖書封面 |  | | 描述 | .Delivering AI projects and building an AI organization are two big challenges for enterprises. They determine whether companies succeed or fail in establishing AI and integrating AI into their digital transformation. This book addresses both challenges by bringing together organizational and service design concepts, project management, and testing and quality assurance. It covers crucial, often-overlooked topics such as MLOps, IT risk, security and compliance, and AI ethics. In particular, the book shows how to shape AI projects and the capabilities of an AI line organization in an enterprise. It elaborates critical deliverables and milestones, helping you turn your vision into a corporate reality by efficiently managing and setting goals for data scientists, data engineers, and other IT specialists...For those new to AI or AI in an enterprise setting you will find this book a systematic introduction to the field. You will get the necessary know-how to collaborate with and lead AI specialists and guide them to success. Time-pressured readers will benefit from self-contained sections explaining key topics and providing illustrations for fostering discussions in their next team, pro | | 出版日期 | Book 2022 | | 關鍵詞 | Managing AI Projects and AI Organizations; AI-Ops for Data Driven Companies; Managing AI Projects and | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-7824-6 | | isbn_softcover | 978-1-4842-7823-9 | | isbn_ebook | 978-1-4842-7824-6 | | copyright | Klaus Haller 2022 |
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