Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products

by Alexander Borek, Nadine Prill

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.

264 pages, Paperback

Published November 24, 2020

Reviews

[Darya · Rating 4 out of 5]

Digital transformation is a change management process to renew the business model with advanced technologies , sophisticated digital capabilities and the company culture. The focus of this book is in SO and machine learning powered digital transformation strategies. The book covers good examples and case studies for transformation of products, services, employees and culture, gives an overview of case studies and has checklists after each chapter. I'd recommend this book to all execs and specifically CDOs and program managers.