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Model Performance Monitoring Data Drift Detection Prediction Drift Tracking Outlier Detection Engine Local Explanation Insights See all 
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Model Performance Monitoring Tracks accuracy and output quality of ML models in production to ensure stable performance over time. Data Drift Detection Identifies statistical shifts in input features that may degrade model predictions or reliability in production. Prediction Drift Tracking Monitors changes in model outputs to highlight emerging issues caused by evolving data or model behavior. Outlier Detection Engine Flags unusual data points and predictions to help diagnose model failures or unexpected behaviors early. Local Explanation Insights Shows instance-level reasoning for individual predictions to support debugging and transparency needs. Global Feature Analysis Displays overall feature contribution patterns to assess model logic, consistency, and stability at scale. Bias Detection Across Segments Measures disparity levels across defined sub-populations to prevent discriminatory model impacts. LLM Output Evaluation Assesses generative model responses for quality, safety, relevance, and policy alignment in real time. Hallucination Scoring Module Detects unsupported or fabricated LLM responses using internal trust models for safer deployment. Data Integrity Checks Validates schema, formats, missing values and anomalies to maintain consistent model input pipelines. Alerts & Notifications Sends automated alerts when monitoring thresholds fail or significant risks are detected. Root Cause Analysis Identifies underlying drivers of model issues using drift correlations and feature influence patterns. Prompt and Response Tracking Logs and monitors LLM prompts and outputs to analyze behavior, performance, and compliance. Session and Trace Observability Captures LLM agent sessions, traces and spans to analyze interactions and operational flow. Multi Modal Model Support Supports monitoring and explainability for tabular, NLP, CV and LLM models in varied environments.
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“Fiddler AI Review: Real?Time Model Monitoring & Explainability”
4.3
Review by: Savage Reviews
| Brand Name | Fiddler AI |
| Information | Fiddler is the all-in-one AI Observability and Security platform for responsible AI. Our monitoring and analytics capabilities provide visibility, context and control across development and production. |
| Founded Year | 2018 |
| Director/Founders | Amit Paka, Krishna Gade, Manoj Cheenath |
| Company Size | 101-500 Employees |
UAE
India