Real-Time ML Workflows at Capital One with Disha Singla

EPISODE 606
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About this Episode

Today we’re joined by Disha Singla, a senior director of machine learning engineering at Capital One. In our conversation with Disha, we explore her role as the leader of the Data Insights team at Capital One, where they’ve been tasked with creating reusable libraries, components, and workflows to make ML usable broadly across the company, as well as a platform to make it all accessible and to drive meaningful insights. We discuss the construction of her team, as well as the types of interactions and requests they receive from their customers (data scientists), productionized use cases from the platform, and their efforts to transition from batch to real-time deployment. Disha also shares her thoughts on the ROI of machine learning and getting buy-in from executives, how she sees machine learning evolving at the company over the next 10 years, and much more!

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Thanks to our sponsor Capital One

Capital One's AI and machine learning capabilities are central to how it builds products and services — and they're now at the forefront of what’s possible in banking. Whether helping consumers shop more safely online, giving customers new insights into their finances via award-winning mobile apps, or advancing research into cutting-edge applications of machine learning, Capital One is using technology to make banking better.
To learn more about Capital One's Machine Learning and AI efforts and research, visit twimlai.com/go/capitalone!
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