Data As the Fourth Pillar - An Executive Guide for Scaling Ai

Data as the Fourth Pillar reasons that data should be considered the Fourth Pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, it provides a compelling case for why and how they should treat data as a strategic asset.

List of contents

1. Why Must Enterprises Establish Data as the Fourth pillar for Leveraging AI at Scale? 2. 3. Operationalizing Data as the Fourth Pillar: The Data Operating Model (DOM) 4. Maturity Journey for the Data Pillar 5. Visualizing the Future: An Autonomous Enterprise, with Data as the Lifeblood

About the author

Sujay Dutta is a seasoned technology and business leader with 25+ years of global experience. He believes the future is being shaped at the intersection of AI, Business outcomes, Culture, and Data ("A.B.C.D."). He is passionate about helping organizations leverage data and AI at scale, to accelerate business impact. Throughout his career, Sujay has worked with top technology innovators such as Databricks, Informatica, and SAP, as well as leading IT services firms including Capgemini, Harman Connected Services, HCL Technologies, and Tata Consultancy Services. Having lived and worked across India, the USA, and Europe, Sujay brings a global perspective and expertise that spans Data and AI strategy and execution, making him a trusted advisor to C-suite executives and business leaders worldwide.
Siddharth (Sidd) Rajagopal is a Chief Architect in the Field CTO Organization at Informatica. In his role, he engages with senior executives at enterprise providing thought leadership around data and data management by sharing his insights and learnings. Prior to this, he worked as a Consultant and Architect in various large data management programs at Cognizant and Accenture. He lives in the Netherlands with his family.

Product details

• Authors: Sujay Dutta, Sujay Rajagopal Dutta, Siddharth Rajagopal
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 27.08.2025
• EAN: 9781032844602
• ISBN: 978-1-0-3284460-2
• No. of pages: 224
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; Social sciences, law, business > Business > Management; Artificial Intelligence, BUSINESS & ECONOMICS / Information Management, Electrical Engineering, Research & development management, Automatic control engineering, Production & quality control management, Computer architecture & logic design, Computer architecture and logic design, Database design and theory, COMPUTERS / Data Science / Machine Learning, Network Management, Research and development management, Production and quality control management, Database design & theory