000			01820nam a2200193Ia 4500
008			240825s9999 xx 000 0 und d
020			_a9781484284360 _qpbk
041			_aeng
082			_a006.3 _bHAL
100			_aHaller, Klaus
245		0	_aManaging AI in the enterprise _cKlaus Haller _bsucceeding with AI projects and MLOps to build sustainable AI organizations
260			_bApress _cc2022 _aNew York
300			_axix, 214 p. _bill. _c23 cm.
500			_aReprint, 2023
504			_aindex
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
650			_aArtificial intelligence; Robotics; Graphics
942			_cENGLISH
999			_c547006 _d547006