As GEP evolves from individual equipment platforms into a connected commercial network, data architecture will be critical to enabling scalable analytics, AI, predictive maintenance, beverage quality intelligence, operational visibility, and customer-facing data products. Establish and evolve business ontologies and knowledge models that define the relationships between equipment, telemetry, products, customers, service events, and operational processes, enabling consistent data interpretation, interoperability, discoverability, and AI-ready capabilities.