Solution

Client’s data was collected from various source systems and ingested into Snowflake to provide a single source of truth. Snowflake helped in providing the base layer to support the ML Framework for automated training, inference pipelines and model management.

Model Outputs Stored in Snowflake storage table. Implementing Snowflake also helped in building custom dashboards and provided an Interface to view results and generate insights.

Results

We have achieved a remarkable acceleration in the speed of the end-to-end cycle.
Reached an impressive capacity for generating a substantial volume of predictions monthly.
We have significantly reduced the time required for model deployment.
We have drastically cut down the time needed for data ingestion