04
Speaker — 04
Daniel Park
Head of Machine Learning, Vertex
Based in
Seoul
Speaking
Day 02 · Thu, Nov 19
Format
Case Study
Speaking at SUMVIA
Day 02 · Thu, Nov 19
02:00 – 03:30
Case Study
From Prototype to Scale
Inside the real challenges of bringing AI products from early experiments to production.
[02]
About the speaker
A demo takes a weekend. A product that works every day takes a system.
Daniel Park is Head of Machine Learning at Vertex, where he built the platform that takes models from notebook to production for hundreds of engineers.
He focuses on the unglamorous work that makes AI dependable: evaluation, monitoring, cost, and the processes teams need when things go wrong.
His SUMVIA case study walks through what really happens between a promising prototype and a product people rely on.
