Ravindra Kumar

AI promises to shorten the path to those answers. But an AI interface does not make fragmented, poorly understood or inconsistently defined data trustworthy. The platform beneath it must be ready. In this session, Kumar will share how Experian Consumer Services is addressing this through Data 4.0: modernising a live enterprise data estate, with Snowflake as a core foundation, to support analytics and AI-powered experiences. It will explore AI-ready foundations: modern data architecture, reusable data products, dbt-based transformation, cloud-native engineering, interactive dashboards, AI-assisted engineering and domain-aware conversational experiences, and decisions to support workloads at scale. This isn’t a technology migration story or a finished blueprint. It is a practitioner’s view of the patterns, capabilities, decisions and trade-offs involved in transforming a platform while the business runs. It will show why quality, governance, ownership and semantic context matter even more when AI becomes the interface, and how modernisation can reduce the distance between a question, a trusted answer and a better decision.