Real-Time ML Workflows at Capital One with Disha Singla - #606
Published:Dec 19, 2022 19:37
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Disha Singla, a senior director at Capital One. The focus is on the Data Insights team's efforts to build reusable ML components and workflows for company-wide use. The discussion covers team structure, interactions with data scientists, real-time deployment transitions, ROI of ML, and executive buy-in. The article highlights the practical application of ML within a large financial institution, emphasizing the move from batch processing to real-time applications and the challenges and strategies involved in achieving this. It provides insights into the organizational aspects of implementing ML and the importance of accessibility and executive support.
Key Takeaways
- •Capital One is focused on building a platform for accessible and reusable ML components.
- •The company is transitioning from batch to real-time ML deployments.
- •Executive buy-in and demonstrating ROI are key to successful ML implementation.
Reference
“Disha Singla's role involves 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.”