In this session, we will explore how a Data Lakehouse combines the flexibility and scalability of a data lake with the reliability and performance features of a data warehouse, creating a single platform for both advanced analytics and everyday reporting. We’ll discuss key architecture components, governance best practices, and real-world examples to demonstrate how unifying your data foundation can help you confidently scale AI/ML projects. Attendees will walk away with actionable insights on leveraging a Lakehouse approach that tackles today’s biggest data challenges and drives measurable value for their businesses.