Leading 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.
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Product Details
Weight: 200g
Dimensions: 158 x 235mm
Publication Date: 03 Nov 2020
Publisher: Kogan Page Ltd
Publication City/Country: United Kingdom
Language: English
ISBN13: 9781789665390
About Alexander BorekNadine Prill
Dr Alexander Borek is an independent advisor for data analytics and machine learning strategy. He was previously the Global Head of Data Analytics & AI at Volkswagen Financial Services scaling data products across international markets. In his previous roles he led the data transformation at Volkswagen Group and worked as management consultant at Gartner and IBM. Dr Nadine Prill is Head of Product at Taktile a Berlin based tech company that provides a platform for machine learning model deployment governance and explainability. Previously she worked as product manager at PricewaterhouseCoopers (PwC). She holds a PhD from the University of Oxford.