In this presentation, we will delve into the architectural design of a unified data platform engineered to support a wide range of use cases, from analytics to advanced AI/ML-driven applications. As businesses rapidly evolve and new AI or ML models emerge regularly, it becomes essential to have a data foundation that is not only scalable but also exceptionally adaptable to integrate new use cases swiftly. We will explore how leveraging an Event-Driven Architecture, can create a scaleable, resilient and flexible architecture that meets these demands. Attendees will gain comprehensive insights into the architectural principles and practical implementation strategies necessary to build a data platform that is equipped to handle today’s analytics demands and tomorrow’s AI challenges.