ML Feature Store at Intuit with Srivathsan Canchi - #438
Analysis
This article from Practical AI discusses the ML Feature Store at Intuit, focusing on its development and implementation. It highlights Intuit's role as the original architect of the SageMaker Feature Store, now productized by AWS. The conversation with Srivathsan Canchi, Head of Engineering for the Machine Learning Platform team at Intuit, explores the platform's use across various Intuit products like QuickBooks, Mint, TurboTax, and Credit Karma. The article also delves into the growing popularity of feature stores, the readiness of organizations to adopt them, and technical aspects like the use of GraphQL. The episode provides valuable insights into the practical application and benefits of feature stores in a real-world setting.
Key Takeaways
- •Intuit was a key player in the development of the SageMaker Feature Store.
- •Feature stores are becoming increasingly important for organizations using machine learning.
- •The article discusses practical considerations for implementing a feature store, including technology choices like GraphQL.
“The article doesn't contain a direct quote, but it discusses the conversation with Srivathsan Canchi.”