The Problem This Solution Solves
The DoD requires a commercial MLOps infrastructure to sustain the operational utility of machine learning models in rapidly changing environments. This software pipeline must support post-deployment monitoring, efficient data exfiltration, rapid retraining, and hardware-specific model compilation. By integrating these CI/CD steps, the DoD ensures that models can be validated and redeployed quickly to account for adversarial activity and varying mission profiles.
The Solution
Fiddler Labs provided a Model Performance Management (MPM) solution that features advanced image explainability and a patent-pending vector monitoring capability to detect data drift in unstructured data. This MLOps infrastructure allows for rapid troubleshooting and root-cause analysis through data visualization and clustering, significantly speeding up the process of retraining machine learning models to identify new targets. The prototype was successfully demonstrated in secure government cloud environments, proving its ability to scale across various defense platforms and sensor types.