With every company wanting to do AI, how do you actually get from raw data to ML and AI?
Gu has been working in financial services and date for the past decade and has seen data infrastructure in various states.
So I wanted to talk to him about his experiences, the challenges and mistakes he has seen when building data infra and how companies can better approach developing mature and reliable data stacks.
I look forward to the conversation!