Starting with an industrial PhD in aerodynamic optimization of airplane engines, I transitioned into the data realm, working as both an engineer and a leader for companies ranging from scale-ups to Meta. I’m currently the Director of Data Engineering at GWI. I enjoy making sense out of data, communicating it, and building end-to-end systems that scale and solve real problems.
Starting with an industrial PhD in aerodynamic optimization of airplane engines, I transitioned into the data realm, working as both an engineer and a leader for companies ranging from scale-ups to Meta. I’m currently the Director of Data Engineering at GWI. I enjoy making sense out of data, communicating it, and building end-to-end systems that scale and solve real problems.
Everyone wants to “chat with their data”, but not everyone realizes how much groundwork that takes. This session explores what it really means to add an AI layer on top of a business intelligence data platform and why success depends on a strong data foundation, a clear semantic layer, and effective governance. We will look at how a well-structured warehouse and defined metadata enable accurate, contextual responses while keeping information secure and properly governed. The session also highlights the importance of communicating clearly with end users, setting expectations, building trust, and helping them gain real value from AI while maintaining critical judgment.
A discussion of building global success and how artificial intelligence is transforming the world.
