Srivathsan Canchi

Srivathsan Canchi

Head of Engineering, ML Platform Team

Srivathsan is the Dev Manager for the ML Platform. Prior to Intuit, he was responsible for building the cloud platform at eBay. His team built the cloud platform-as-a-service, enabling eBay to run 1000s of services handling 10s of Billions of calls every day. The journey of building a cloud platform took ebay from a non-cloud environment, to a private cloud on VMWare to a private cloud running on OpenStack, to adopting Kubernetes at scale. Our team was one of the early contributors and adopters of Kubernetes in an on-premise environment.

Cost Transparency and Model ROI
Wednesday, January 27 | 
10:00 AM - 
10:30 AM

As companies adopt AI/ML, they run into operational challenges with cost and ROI questions…how do you capture the costs of featurization, training and predictions? How do you forecast the costs? If a model needs an expensive GPU, what’s the ROI on a model or a set of features?

At Intuit, the ML platform is responsible for the different parts of the Model Development Lifecycle(MDLC) from Feature Eng to Training and to Model Hosting. The platform team has been able operationalize cost transparency and cost chargeback to the lines of businesses.

In this session we will give a brief overview of the Intuit’s ML platform, with a specific focus on operational cost transparency across feature engineering, model training and hosting. We will also talk about the benefits we’ve observed.

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