How Domino accelerates AI/ML validation at scale
Watch now
Model validation doesn’t have to be manual, fragmented, or reactive. In fact, it can be a competitive advantage—when it's automated, collaborative, and built into the model lifecycle from day one.
In this session we show you how Domino helps financial services and insurance organizations modernize their model validation workflows from environment provisioning to automated audit trails. You’ll see how our unified platform enables validators, builders, and IT to work in parallel, not in silos cutting validation timelines by 50–70%.
We walk through:
- What validation looks like inside the Domino platform
- How to eliminate weeks of rework with one-click environment replication
- How automated documentation and real-time collaboration reduce audit findings
- Real examples of customers who’ve slashed validation timelines while enhancing compliance
Whether you're a model validator, IT leader, or data science exec, you’ll get a blueprint for bringing safe, scalable AI to production.
Featured Speakers
Mike Upchurch
VP, Financial Services and Insurance Strategy
Mike Upchurch is the Vice President of Strategy for Financial Services at Domino Data Lab, bringing over 25 years of expertise in analytics, ML/AI, business strategy, and technology. Previously, Mike held roles at Capital One as a product manager in their innovation lab and as a strategy and operations consultant in their Center for Machine Learning. Mike led strategy at Notch and in the mortgage lending group of Bank of America and was the co-founder of Fuzzy Logix. Prior to that he developed deep hands-on technical experience at The Hunter Group and PwC.
Ian McKenna
Solutions engineer for FSI
Ian McKenna is a Staff Sales Engineer at Domino Data Lab, focusing in Financial Services with over 15 years of experience in quantitative finance, risk management, and econometrics. Prior to joining Domino, Ian served as the Director of Field Engineering at dotData, where he led the field engineering team and helped drive the growth in the subprime lending space. Earlier in his career, he was a Principal Application Engineer at MathWorks, where he supported financial services clients with his advanced knowledge in AI/ML, distributed computing, optimization, and technical computing. Ian holds a Ph.D. from Northwestern University and a B.S. from the University of Florida in Materials Science.