Centralised Models API
Customer
Swiss Chemical Company
Creating an API platform to facilitate access to insights from various models from different systems, laying the foundation for more ML use across the company
Challenge
- Variety of chemical, physical and sometimes ML models scattered across the entire company
- Models thus quickly became outdated and couldn’t be properly maintained
- Different production sites operating in silos instead of profiting from collaboration
Solution
- Created API platform to facilitate model access, storage and maintenance
- Integrated API into Azure ML to allow timely model retraining
- Built web app linked to API and used to test models with users before integrating them into other company applications
Business impact
- API platform has become the official company-wide platform to derive insights from models
- 20 models available, integrated into 5 applications
- Infrastructure is now accessible from anywhere in the world by employees
- Laying the foundation for more ML uses by employees adopting a more and more data-driven approach to problems