Amazon SageMaker AI and Fiddler: Native Integration for AI Observability
See How Fiddler Works in Amazon SageMaker AI
Fiddler brings enterprise-grade monitoring directly into SageMaker. No data leaves your environment.
A Command Center for ML Models in Production
With its unified AI observability platform, Fiddler enables data science and engineering teams to move beyond the experimentation and testing phases, to monitor more high-performing models in production.
Enterprise-Grade AI Observability is One Click Away within SageMaker AI
Fiddler seamlessly integrates into existing MLOps workflows in Amazon SageMaker AI, helping enterprises bridge the production gap and establish a continuous feedback loop for their models.
With streamlined procurement within Amazon SageMaker AI, organizations can begin monitoring production models in the Fiddler AI Observability platform without lengthy approval processes.
Monitor ML Metrics
- Monitor ML metrics, including performance, model drift, data integrity, model bias, and other custom metrics specific to the use case.
- Track models across computer vision, NLP, and complex multimodal deep learning applications, supporting the most advanced use cases.
- Keep a pulse on model health and key ML metrics vital to the business with customizable dashboards and charts, delivering actionable insights at a glance.
Detect Issues Early with Alerts
- Set up alerts to track key model metrics and high-priority issues, enabling rapid response and in-depth analysis.
- Proactively identify model issues caused by evolving user preferences or incomplete input data, enabling timely retraining to maintain effectiveness.
- Gain immediate insights into trends and performance indicators for a clearer, more actionable view of model health.
Resolve Issues with Model Diagnostics
- Address performance gaps with model diagnostics and perform root cause analysis to surgically pinpoint exactly where the issue is.
- Gain deeper model insights by analyzing feature importance, their correlations, and their impact on model outcomes.
- Examine model traffic, metadata, version history and slices of production data to proactively uncover performance challenges and root causes.
Drive Data-led Responsible AI
- Implement user-defined custom metrics tailored to unique use cases, including hidden intersectional biases and fairness metrics.
- Track evidence for Governance, Risk Management, and Compliance (GRC) audits.
- Align ML model metrics to business KPIs to drive revenue growth and deliver responsible AI at every stage of the responsible AI maturity journey.
Start Monitoring ML Models within Amazon SageMaker AI
Fiddler is a select Amazon SageMaker AI partner and featured in Amazon SageMaker AI for easy procurement. The Fiddler AI Observability platform is available within Amazon SageMaker AI, a part of SageMaker Unified Studio.
Contact our Sales team for help with the process.
