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Driving Digital Transformation through Data and AI
A Practical Guide to Delivering Data Science and Machine Learning Products
"After years of progress in AI, might the hype be growing faster than the reality? Are we about to enter an 'AI autumn'? Not if Borek and Prill have anything to say about it! Digital transformation is tough - this book improves your odds."
Thomas C Redman, "the Data Doc", Harvard Business Review Blogger and Author
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. Les mer
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.
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.
Detaljer
- Forlag
- Kogan Page Ltd
- Innbinding
- Paperback
- Språk
- Engelsk
- Sider
- 264
- ISBN
- 9781789665390
- Utgivelsesår
- 2020
- Format
- 24 x 16 cm
Anmeldelser
"After years of progress in AI, might the hype be growing faster than the reality? Are we about to enter an 'AI autumn'? Not if Borek and Prill have anything to say about it! Digital transformation is tough - this book improves your odds."
Thomas C Redman, "the Data Doc", Harvard Business Review Blogger and Author
"Clear and to the point in a language that works for executives. A must-read for any leader."
Holger Kömm, Senior Director Advanced Analytics, Adidas
"A great in-depth introduction to how to add value to companies using digitalization, data and AI."
Patrick Glauner, Professor of Artificial Intelligence, Deggendorf Institute of Technology
"Provides great guidance on how to think of data products instead of projects - which is a key factor in mastering the challenges of digitalization."
Carsten Bange, Founder and CEO, BARC (Business Application Research Centre)
"A must-read for everyone involved into turning digitization and AI into real value for your company. Whether you're in the middle of the process looking for some orientation or just about getting started, this book will provide you with the advice you need!"
Alexander Thamm, CEO and Founder of Alexander Thamm GmbH
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