Driving Digital Transformation Through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products (Paperback or Softback)
Language: English
Published by Kogan Page 11/24/2020, 2020
- Softcover
- New

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Seller Inventory # BBS-9781789665390
- Title
- Driving Digital Transformation Through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products (Paperback or Softback)
- Author
- Borek, Alexander
- Publisher
- Kogan Page 11/24/2020
- Publication year
- 2020
- Condition
- New
- Book Type
- Book
- Binding
- Paperback or Softback
- Language
- English
- ISBN 10
- 1789665396
- ISBN 13
- 9781789665390
- Item weight
- 1.15 pounds
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.
"Synopsis" may belong to another edition of this title.
About the Author
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). Nadine holds a PhD from the University of Oxford.
"About the title" may belong to another edition of this title.
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