About the Authors
An Executive Guide for Scaling AI
This book reasons why Data should be the Fourth Pillar for every enterprise, along with people, processes and technology. It provides the Board, CEOs, and CxOs an understanding of why and how they should treat Data strategically. It provides a comprehensive success by design approach for enterprises and guides them through a Maturity Framework to accelerate their data-centric journey.
The book covers the "Why", the "What" and the "How" of achieving that goal in measurable terms. To measure the impact provided by the Data pillar, the authors introduce KPIs such as Total Addressable Value through data (TAV) and Expected Addressable Value through data (EAV). The book explores how AI and Data enable and benefit from each other. It provides a case study by Audi AG which brings practical insights into the concepts and frameworks presented.
This book is a key resource for business executives in SMB and Large Enterprises who need to accelerate business value to their stakeholder communities in a highly complex and hyper-competitive business landscape.
Be the Data Champions. Provide sponsorship and strategic leadership to enable the enterprise to derive long-term value through the data pillar.
The North Star goal of a Chief Data Officer would be to enable all stakeholders to enhance their business outcomes by leveraging data as a strategic asset.
CIO/CTOs, COOs, CHROs and leaders across different business functions and domains create the flywheel effect – enabling the data pillar and benefitting from it.
To understand data intensity, the authors present a three-dimensional "QCS Framework," wherein "QCS" represents "Quality, Compliance, and Speed."
A Data Operating Model (DOM) is an agile data delivery framework that enables the data pillar to provide data assets to the data consumers.
To measure the impact provided by the Data pillar, the authors introduce KPIs such as Total Addressable Value through data (TAV) and Expected Addressable Value through data (EAV).
The authors introduce the Maturity Framework, which enables organizations to assess their maturity level, set strategic goals, and systematically progress toward a scalable, AI-powered, data-centric enterprise.
The case study details Audi Production's journey to provide on-the-ground implementation feedback on what works and what doesn't - it offers practical lessons for others navigating similar terrain.
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