The issue of improving the reliability of ML model deployment was tackled head-on. In the initial phases, the deployment process was manual and fragmented, which led to delays and production errors.

The development of robust CI/CD (Continuous Integration and Continuous Deployment) pipelines for machine learning, was essential in managing large-scale deployments in both finance and media sectors.