Publisher Description

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.

Author Biography

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.

Table of Contents

• • Chapter - 01: Introduction to delivering data and AI products;
  • Chapter - 02: Developing the data and AI product strategy and goals;
  • Chapter - 03: Setting up the data and AI product delivery organization;
  • Chapter - 04: Identifying and defining data and AI products;
  • Chapter - 05: Delivering high quality data and AI products;
  • Chapter - 06: Designing the data and AI platform and architecture;
  • Chapter - 07: Driving transformative change with data and AI products;
  • Chapter - 08: The future of data and AI products in your organization

Review

"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 *

Review Text

"Clear and to the point in a language that works for executives. A must-read for any leader."

Review Quote

"Provides great guidance on how to think of data products instead of projects - which is a key factor in mastering the challenges of digitalization."

Promotional "Headline"

Explains how to build the organizational capability to deliver Data and AI products and drive immediate business results as new digital technologies significantly disrupt business

Feature

* Explains how to build the organizational capability to deliver Data and AI products and drive immediate business results as new digital technologies significantly disrupt business; * Provides best practices, tools and templates for managing the organizational and technological change process to become an AI-driven enterprise; * Includes a variety of international case studies across several industries such as insurance, fashion, consumer goods, finance, technology and automotive; * Outlines how to develop a product strategy, build teams and design the platform and architecture; * Provides key principles for sharing knowledge, educating staff on data and AI, and effectively engaging top executives

Details