Model development life cycle consists of various stages, including Data Cleansing, Data Exploration, Experiments, Model Development, Model Deployment, and Model Monitoring. The Intuit ML Platform team is on a journey to automate various stages, making it easier for MLE and DS to build and deploy ML models. In addition, the ML Platform team wants to provide a no-code solution to analysts and fully automate model development for them. As part of this automation, the team has enabled the capability to use AutoML provided by H2O DAI to build models. We would like to share the journey with the community.

Speakers:

Mi Yan, Ph. D., Senior Data Scientist, Intuit

Jolene Huang, Staff Machine Learning Engineer, Intuit