Siddharth Rajagopal

While enterprises are operating in a high VUCA (Volatility, Uncertainty, Complexity and Ambiguity) world, they are also drowning in telemetry and raw data. While their enterprise data capture isolated snapshots of their business, they routinely miss the dynamic business context. The missing enterprise context kills AI initiatives, leaving organizations poorly equipped to win in the high VUCA world. This session introduces a radical evolution of the legacy organizational structure. By transforming the wobbly three-legged operating structure of People, Process, and Technology, to the modern four-pillared one - attendees will discover how to integrate Data as a co-equal Fourth Pillar, creating the flywheel effect with People, Processes, and Technology. Moving beyond abstract concepts, we will demonstrate a real-world scenario showing how capturing qualitative, operational context bridges the widening gap between high-level executive ambition and on-the-ground reality. When navigating supply chain bottlenecks, managing rapid cross-functional changes, or steering through critical business disruptions, treating data as an enterprise asset acts as the collective memory of your organization – for humans and AI agents. Expected Outcome from the session: Join us to learn how to operationalize the enterprise context, involving all stakeholders, to drive AI at scale in the high VUCA world.

Reason why Data should be the Fourth Pillar for every enterprise. The Board, CEOs, and CxOs must understand why they should treat data strategically. Enterprises’ use cases like AI drive the need for data high in quality, compliance, and speed dimensions. - Present a framework for enterprises to understand their current data challenges. - Key principles for the data pillar - Role of the Chief Data Officer (CDO) - nurture demand for data while taking steps to fulfill the supply of demand through an agile data operating model (DOM). The DOM enabled by people, processes, and technologies. - Measuring the impact provided by the data pillar, introduce KPIs such as Total Addressable Value through data (TAV) and Expected Addressable Value through data (EAV). - A Maturity Framework for every enterprise to track and progress its data maturity journey.