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Fiddler AI Solutions for the Public Sector

  • Monitoring

    Monitor predictive and generative AI models across pre-production and post-production. Measure ML and LLM metrics at scale in a unified dashboard. From model monitoring alerts to detailed root cause analysis, quickly identify and address areas of underperformance to minimize business impact.

    • Metrics Monitoring: Detect changes in model behavior and performance by monitoring ML and LLM metrics
      • Drift
      • Data quality
      • Hallucination
      • Toxicity
      • PII
      • Custom
    • Segment Monitoring: Monitor segments to drill down on underperforming cohorts
    • 3D UMAP Visualizer: Gain contextual insights by identifying patterns and outliers in high dimensional spaces
    • Alerts: Configure and receive real-time model monitoring alerts to identify and troubleshoot high-priority issues
  • Explainable AI (XAI)

    Fiddler provides best in class explainable AI technology to provide complete context and visibility into tabular and image model behaviors and predictions, from training to production. Implement powerful XAI techniques at scale to build trusted AI solutions.

    • Explainability methods for your use case: Increase your model’s transparency and interpretability using SHAP values, Fiddler SHAP, Integrated Gradients, or custom explanations
    • Image Explainability: Explain predictions in image models to understand their ensure they are high-performing and accurate
    • ‘What-If’ Analysis: Gain a better understanding of your model’s predictions by changing any value and studying the impact on scenario outcomes
    • Global and Local Explanations: Understand how each feature you select contributes to the model’s predictions (global) and uncover the root cause of an individual issue (local)
  • Analytics

    Gain actionable insights to power data-driven decisions. Analyze slices of data to surface the root cause of issues. Understand the 'why' behind all issues for quick issue resolution and model improvement.

    • Dashboards: Increase business alignment and confidence in decision-making by connecting ML and LLM metrics to business KPIs in a unified view
    • Charts: Build customizable reports with the reports with the insights you need to gain deep understanding of your models and their impact on business outcomes
    • Root Cause Analysis: Pinpoint problematic areas causing models to underperform
    • Slice and Explain: Drill down on slices of data to perform exploratory or targeted analysis