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

This book enables organizations to 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 and the organizational setup and agile processes to deliver machine learning products at scale.

Format: Paperback / softback
Length: 264 pages
Publication date: 03 November 2020
Publisher: Kogan Page Ltd

Leading tech companies like Netflix, Amazon, and Uber have successfully leveraged data science and machine learning at a massive scale to drive their core business processes. In contrast, many traditional companies face challenges in expanding their machine learning projects beyond a limited pilot scope. This book aims to empower organizations to fully embrace the transformative power of digital transformation by establishing data and AI products as the central focus of their operations. It equips executives with the necessary tools and concepts to develop a comprehensive data and AI portfolio strategy, as well as the organizational structure and agile processes required to deliver machine learning solutions at a large scale. Special attention is given to advancing the data architecture and governance, balancing stakeholder requirements, and breaking down organizational silos through innovative approaches to work. Each chapter includes templates, common pitfalls, and global case studies covering various industries such as insurance, fashion, consumer goods, finance, manufacturing, and automotive. This book offers a holistic perspective on strategy, technology, product, and company culture, providing valuable insights for driving digital transformation in the era of AI.

Weight: 406g
Dimension: 156 x 233 x 18 (mm)
ISBN-13: 9781789665390