The squad is currently working on an in-house build of Feature Store to help speed up modeling process for our Data Science department. Combination of Snowflake, Cloud Pak for Data. (More on this later)
Currently, data scientist build model features (attributes) about customers in their own Jupyter notebook that feed into their models and never reuseable for others… aka reason for Feature Store
They are also working on building real time scoring framework for our loan/card application process. Right now it’s batch and can be almost 31 days behind.
Technology used: Docker, Kafka, Snowflake, Feature Store
We are in early innings with Sagemaker and just scratching the surface. We need help getting this platform stood up