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Driving Digital Transformation through Data and AI
Driving Digital Transformation through Data and AI A Practical Guide to Delivering Data Science and Machine Learning Products
Edition 1
Pages Dimensions Subject 09/28/2020
248 234x156 Business Improvement
This book << 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 AIdriven enterprise << Includes a variety of international case studies across several industries such as insurance, fashion, consumer goods, finance, technology and automotive
Author Information
Dr Alexander Borek is Global Head of Data & Analytics at Volkswagen Financial Services, where he runs the global data analytics and AI organization across 45 markets. Previously, he led the global Data and AI transformation at Volkswagen Group and worked as data and analytics consultant at Gartner and IBM, where he had advised global Fortune 500 executives across industries.
Dr Nadine Borek-Prill is Senior Associate Digital & AI, Project Manager and Machine Learning Software Developer at PricewaterhouseCoopers (PwC). She is a co-founder and distinguished member of TriRhena, a university business consulting group.
Description
Leading digital businesses such as Netflix, Amazon and Uber use data science and machine learning at scale in all of their core business processes, but many organizations struggle to expand their projects beyond a small pilot scope. Driving Digital Transformation through Data and AI is a practical guide to ensuring the promised value of these projects is truly realized in any organization. With direction on calculating business cases and monetizing products, it clearly outlines best practice in ensuring return on investment and understanding how business models are being disrupted.
This book explains the step-by-step processes around creating an effective data and AI product portfolio strategy, establishing delivery processes, and maturing the digital architecture and platform in a hybrid cloud environment. Key consideration is given to the challenges of obtaining buy-in from senior stakeholders, breaking organizational silos through knowledge sharing and using data and AI education as a powerful method for driving change.
Each chapter includes tools and templates for practitioners, common pitfalls, and global case studies covering industries such as insurance, fashion, consumer goods, finance, technology and automotive. With coverage of important issues such as ensuring security, data protection and compliance, Driving Digital Transformation through Data and AI enables the organizational transformation required to get ahead in the age of artificial intelligence and digital disruption.
Table of Contents
1 Introduction to delivering data and AI products 2 Developing the data and AI product strategy and goals 3 Setting up the data and AI product delivery organization 4 Identifying and defining data and AI products 5 Delivering high quality data and AI products 6 Designing the data and AI platform and architecture 7 Driving transformative change with data and AI products 8 The future of data and AI products in your organization
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