MLOps lessons the AI coding boom hasn't learned yet
April 15th at 10 am PT | 1 pm ET
Register now
Your team is shipping faster than ever. But faster demos don't lead to faster outcomes. The research notebook crisis of the 2010s proved what happens when exploration tools get mistaken for production tools, and it took the entire MLOps movement to clean up the mess.
That gap is back, bigger and faster-moving. It’s called vibe coding, and agentic engineering is how we close it. Because the teams pulling ahead aren't writing the most code. They're writing the right code, backed by the right process.
Join Domino Data Lab's Chief Field Data Scientist for the practitioner-led conversation your team needs to have right now.
You'll walk away knowing:
- Why vibe coding was never designed for production and what it's costing you
- Why AI-generated code passes tests but fails to deliver real business outcomes
- What agentic engineering actually looks like in regulated industries
- What a great engineer looks like in 2026 and how to build that team
- 3 moves you can make Monday morning to 10X your team's meaningful output
Featured speakers
Jarrod Vawdrey
Field Chief Data Scientist
Jarrod Vawdrey is a fixture in the data science community, and is Advisor and former CEO of A42 Labs, a leading provider of AI and ML software and services for building, deploying and managing business critical data workloads at scale. Jarrod holds multiple patents in the field of AI and data science.
Agnes Youn
Solutions engineer
Agnes Youn is a Senior Sales Engineer at Domino Data Lab, where she helps pharmaceutical and biotech organizations accelerate R&D and modernize clinical operations. With a background in biomedical research, software systems, and technical pre-sales in life sciences, Agnes combines deep technical expertise with an understanding of how teams work in highly regulated environments. She specializes in architecting end-to-end technical solutions that solve complex challenges— ranging from initial drug discovery in R&D to regulated clinical pipelines in statistical computing environments (SCE). Agnes partners closely with customers, sales, and product teams to translate complex scientific challenges into practical solutions, helping life sciences organizations scale their data science capabilities.