German Automotive Company

Defining model guidelines and developing data governance for data lake resulting in successful deployment of models compliant with strict regulations

Challenge

• Client in middle of a digital transformation and experimenting with big number of ML use-cases on proprietary data platform
• Need to operationalise some ML models while avoiding lock-in of vendor platform

Solution

• Implemented guidelines for model training, deployment and maintenance in hybrid environment
• Developed data governance for data lake
• Built model-serving layer bridging the gap between Dataiku and Kubernete

Business impact

• Successful transition from experimentation phase to deployment of multiple ML models while maintaining strict standards of Finance Department
• Client was able to integrate model with multiple client-facing applications