Increase ML operational efficiencies
Minimize risks impacting your brand and reputation
Enable model interpretability for all stakeholders
Avoid risks that negatively impact your company’s brand and revenue. The Fiddler AI Observability platform supports teams in building out a robust model governance and model risk management framework to meet regulatory compliance, build trust into your AI solutions, and adopt responsible AI.
Adopt effective model governance to minimize risks to your company’s reputation.
Audit all models in your inventory by tracking model performance and data drift at scale. Empower stakeholders with fine-grained control and visibility into model accuracy, and understand the root cause of model degradation. Perform segmentation analysis on anomalies across models to quickly mitigate potential risks and improve operational efficiencies.
Ensure all your models stay compliant through model monitoring.
Evaluate model performance and how shifts in structured (tabular) and unstructured (natural language processing and computer vision) data attribute to model degradation or model bias. Be alerted to data integrity issues in your pipeline, from missing values to range or data type violations. Quickly respond to regulatory requirements with insight into model changes.
Build a robust model risk management framework with greater model transparency and explainable AI.
Enable regulators and stakeholders across the business to facilitate compliance throughout the MLOps lifecycle and share MRM and risk reports for periodic reviews. Avoid financial risks, fines, or breaches by understanding how changes in model performance or data can alter model predictions.