Managing AI in the Enterprise (Record no. 696002)

MARC details
000 -LEADER
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003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240711152419.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484284360
040 ## - CATALOGING SOURCE
Language of cataloging English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/HAL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Haller, Klaus
245 ## - TITLE STATEMENT
Title Managing AI in the Enterprise
Remainder of title Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Apress
Date of publication, distribution, etc 2023
300 ## - PHYSICAL DESCRIPTION
Extent xix, 214p
520 ## - SUMMARY, ETC.
Summary, etc 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.<br/>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, project, or management meeting. Reading this book helps you to better sell the business benefits from your AI initiatives and build your skills around scoping and delivering AI projects. You will be better able to work through critical aspects such as quality assurance, security, and ethics when building AI solutions in your organization.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term Experienced IT managers managing data scientists or who want to get involved in managing AI projects, data scientists and other tech professionals who want to progress toward taking on leadership roles in their organization’s AI initiatives and who aim to structure AI projects and AI organizations, any line manager and project manager involved in AI projects or in collaborating with AI teams
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Checked out Date last seen Date checked out Cost, replacement price Price effective from Koha item type Public note
    Dewey Decimal Classification     Symbiosis Institute of Computer Studies and Research Symbiosis Institute of Computer Studies and Research Data Mining 10/07/2024 The Word Book Shop 749.00 4 006.3/HAL SICSR-B-19665 26/12/2025 26/11/2025 26/11/2025 749.00 11/07/2024 Books Experienced IT managers managing data scientists or who want to get involved in managing AI projects, data scientists and other tech professionals who want to progress toward taking on leadership roles in their organization’s AI initiatives and who aim to structure AI projects and AI organizations, any line manager and project manager involved in AI projects or in collaborating with AI teams