001443451 000__ 04577cam\a22005057a\4500
001443451 001__ 1443451
001443451 003__ OCoLC
001443451 005__ 20230310003545.0
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001443451 008__ 220105s2022\\\\xxu\\\\\o\\\\\001\0\eng\d
001443451 019__ $$a1290814486$$a1291314197
001443451 020__ $$a9781484278246$$q(electronic bk.)
001443451 020__ $$a1484278240$$q(electronic bk.)
001443451 020__ $$z1484278232
001443451 020__ $$z9781484278239
001443451 0247_ $$a10.1007/978-1-4842-7824-6$$2doi
001443451 035__ $$aSP(OCoLC)1290841098
001443451 040__ $$aYDX$$beng$$cYDX$$dN$T$$dOCLCO$$dTOH$$dORMDA$$dOCLCF$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCQ
001443451 049__ $$aISEA
001443451 050_4 $$aHF5548.2$$b.H35 2022eb
001443451 08204 $$a658.0563$$223
001443451 1001_ $$aHaller, Klaus,$$eauthor.
001443451 24510 $$aManaging AI in the enterprise :$$bsucceeding with AI projects and MLops to build sustainable AI organizations /$$cKlaus Haller.
001443451 260__ $$a[United States] :$$bApress,$$c2022.
001443451 300__ $$a1 online resource
001443451 500__ $$aIncludes index.
001443451 5050_ $$a1. Why Organizations Invest in AI -- 2. Structuring and Delivering AI Projects -- 3. Quality Assurance in and for AI -- 4. Ethics, Regulations, and Explainability -- 5. Building an AI Delivery Organization -- 6. AI & Data Management Architectures -- 7. Securing & Protecting AI Environments -- 8. Looking Forward.
001443451 506__ $$aAccess limited to authorized users.
001443451 520__ $$aDelivering 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, 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. What You Will Learn Clarify the benefits of your AI initiatives and sell them to senior managers Scope and manage AI projects in your organization Set up quality assurance and testing for AI models and their integration in complex software solutions Shape and manage an AI delivery organization, thereby mastering ML Ops Understand and formulate requirements for the underlying data management infrastructure Handle AI-related IT security, compliance, and risk topics and understand relevant AI ethics aspects Who This Book Is For 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.
001443451 588__ $$aDescription based on print version record.
001443451 650_0 $$aBusiness$$xData processing.
001443451 650_0 $$aProject management$$xTechnological innovations.
001443451 650_0 $$aArtificial intelligence$$xIndustrial applications.
001443451 650_6 $$aGestion$$xInformatique.
001443451 650_6 $$aGestion de projet$$xInnovations.
001443451 650_6 $$aIntelligence artificielle$$xApplications industrielles.
001443451 655_0 $$aElectronic books.
001443451 77608 $$iPrint version:$$z1484278232$$z9781484278239$$w(OCoLC)1269101355
001443451 852__ $$bebk
001443451 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7824-6$$zOnline Access$$91397441.1
001443451 909CO $$ooai:library.usi.edu:1443451$$pGLOBAL_SET
001443451 980__ $$aBIB
001443451 980__ $$aEBOOK
001443451 982__ $$aEbook
001443451 983__ $$aOnline
001443451 994__ $$a92$$bISE