Sponsored by: LakeFusion | When MDM Meets Ontology: A New Architecture for Enterprise Data Intelligence

Every enterprise has data. But most struggle to extract true meaning. We've spent decades building separate systems for analytics and operations, separate tools for data quality and governance, separate platforms for master data and transactional data. The result: fragmented records, conflicting hierarchies, and business processes that can't trust the data they depend on. This talk introduces the concept of an operational ontology: a data architecture that doesn't just describe what your data should look like, but enforces it at scale, in real time, inside the lakehouse. Drawing from production deployments that consolidated 100M+ records across dozens of source systems in weeks (not months), we'll show how LakeFusion’s lakehouse-native entity resolution, streaming data quality, and AI-powered stewardship combine to build something traditional MDM and top-down knowledge graphs never could: a living, governed, operational model of your business that AI agents can actually act on.