000			02925nam a2200409Ia 4500
001			3326
008			230305s2020 xx 000 0 und d
020			_a9781789665390
040			_cTBS
041			_aeng
043			_aen_UK
245		0	_aDriving digital transformation through data and AI
260			_bKogan Page, _c2020
300			_avii, 249 p.
500			_aa practical guide to delivering data science and machine learning products
505			_aChapter - 01: Introduction to delivering data and AI products - Chapter - 02: Developing the data and AI product strategy and goals - Chapter - 03: Setting up the data and AI product delivery organization - Chapter - 04: Identifying and defining data and AI products - Chapter - 05: Delivering high quality data and AI products - Chapter - 06: Designing the data and AI platform and architecture - Chapter - 07: Driving transformative change with data and AI products _rChapter - 08: The future of data and AI products in your organization
520			_aLeading tech companies such as Netflix, Amazon and Uber use data science and machine learning at scale in their core business processes, whereas most traditional companies struggle to expand their machine learning projects beyond a small pilot scope. This book enables organizations to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business. ; ; It provides executives with the essential tools and concepts to establish a data and AI portfolio strategy as well as the organizational setup and agile processes that are required to deliver machine learning products at scale. Key consideration is given to advancing the data architecture and governance, balancing stakeholder needs and breaking organizational silos through new ways of working. ; ; Each chapter includes templates, common pitfalls and global case studies covering industries such as insurance, fashion, consumer goods, finance, manufacturing and automotive. Covering a holistic perspective on strategy, technology, product and company culture, Driving Digital Transformation through Data and AI guides the organizational transformation required to get ahead in the age of AI.
630			_aHD INDUSTRIES. LAND USE. LABOR _937
650		0	_aProduction management _92675
650		0	_aOrganizational change _92599
650			_aInformation systems _94595
650		0	_aArtificial Intelligence _914147
650			_a _9794
650			_aRobotics _913747
650			_aSimulation _913748
650			_a _9794
650			_aGraphics _913749
650			_aData analysis: general _913750
650			_aBusiness strategy _910467
653			_aBibliography B3 DATA The Business Aspect of Artificial Intelligence
700			_aPrill, Nadine _eAutor _913751
700			_aBorek, Alexander _eAutor _913752
902			_a543
905			_am
942			_a1 _2ddc
999			_c3160 _d3160