Today we’re joined by Dave Castillo, Managing Vice President for ML at Capital One and head of their Center for Machine Learning.
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We caught up with David at re:Invent to discuss the aforementioned Center for Machine Learning, and what has changed since our last discussing with Capital One, which you can find here. In our conversation, we explore Capital One’s transition from “lab-based” machine learning to enterprise-wide adoption and support of ML and some surprising ML use cases like granting employee access privileges via an automated system. We also discuss three major initiatives the CFML is focused on to advance ML within Capital One, including managing university research partnerships, internal ML advocacy, and internal collaboration across the entire company. Finally, we discuss their current platform ecosystem, their design vision in building this into a larger, all-encompassing platform, pain points in building this platform, and much more.
Thanks to our sponsor!
I’d like to thank our friends at Capital One for sponsoring our re:Invent series. Capital One has been a huge friend and supporter of the podcast for some time now, and I’m looking forward to sharing my interview with Dave Castillo, Capital One’s Managing VP of Machine Learning with you on Thursday. Dave and I discuss the unique approach being taken at the company’s “Center for Machine Learning,” as well as some interesting AI use cases being developed at the bank, and the platform they’re building to support their ML and AI efforts. Once again, check back in on Thursday, December 19th for that conversation.
To learn more about Capital One’s Machine Learning and AI efforts and research, visit https://www.capitalone.com/tech/explore/
Mentioned in the Interview
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“More On That Later” by Lee Rosevere licensed under CC By 4.0