Turbocharge ML Operations with end-to-end Explainability using Amazon SageMaker and Fiddler. You are empowered to not only train and deploy models with Amazon SageMaker, but seamlessly monitor, explain, and analyze models with Fiddler to build trustworthy, transparent, and reliable AI systems.
Fiddler can be easily connected with your Amazon SageMaker models in a matter of minutes, no need to hustle with different stakeholders to get the best XAI tool up and running.
With Fiddler’s industry-leading XAI technology, you can quickly perform root-cause analytics when it happens, saving time and effort.
Fiddler alerts you when issues such as data drift, outliers, and performance blips happen so you can spend less time on monitoring and more time on solving problems.
Fiddler enables teams to build complex models, improve efficiency and ensure model compliance. Reduce model risk with full visibility and understanding of model vulnerabilities.
Use explainability and model monitoring to save costs from fraudulent transactions, improve customer experience by reducing false positives, and increase team productivity by reducing debugging time.
With Explainable Monitoring, reduce customer churn, drive revenue, and increase engagement. Know your customers better with actionable insights into their actions to solve issues fast and increase LTV.
Are you building models with Amazon SageMaker? Interested in ML Observability? Sign up for a custom demo today to see how you can establish ML Observability with Fiddler. Fiddler's ML Model Performance Management platform empowers you to monitor, explain, and analyze models to build trustworthy, transparent, and reliable AI systems.
