NannyML - Crystal Clear Monitoring for Post-Deployment Data Science
NannyML is a trusted AI SaaS solution for data science teams to monitor their models without labels, offering a research-driven approach to performance-centric workflow.
NannyML Product Information
What is NannyML?
Experience the new standard in post-deployment data science with NannyML Cloud. Benefit from crystal clear monitoring, automated data collection, and effortless observability to ensure your AI models perform at their best without the need for labeled data.
How to Use NannyML?
Start monitoring in minutes by providing your model information and a reference set for analysis. Leverage nannyML's powerful algorithm to detect concept drift and trigger retraining actions via webhooks based on performance alerts and covariate drift results. Automate monitoring data ingestion using the SDK, and utilize insights from monitoring to implement the best resolution strategies for model performance issues.
Core Features of NannyML
- Crystal clear model monitoring
- Quantification of data drift impact on model performance
- Cost-benefit matrix measurement for model impact
- Concept drift detection and impact assessment
- Automated monitoring data collection and alerting infrastructure
Use Cases of NannyML
- AI model monitoring and performance optimization
- Concept drift detection and impact analysis
- Automated monitoring and issue resolution for data science models
FAQ about NannyML
What is NannyML?
NannyML is an AI SaaS solution designed to provide crystal clear monitoring, concept drift detection, and automated infrastructure for model performance optimization and issue resolution without the need for labeled data.
How does NannyML detect concept drift?
NannyML uses advanced algorithms for measuring the impact of concept drift on model performance, providing alerts and triggers for model retraining based on the detected drift.
Is NannyML suitable for data science teams without extensive AI expertise?
NannyML offers automated infrastructure and straightforward monitoring, but effectiveness may require a basic understanding of AI model performance metrics and concepts.
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