Sifflet AI Assistant's Monitoring Optimization Suggestions are a feature of the Sifflet system designed to facilitate optimising ML monitoring at scale. They provide AI-generated suggestions on how to improve your monitoring configuration so as to ensure a reliable and robust setup.
It's a module of the system that observes your monitoring configuration and tracks its performance looking for optimization possibilities. It continuously learns, adjusting to new data trends and behaviours. It helps you stay ahead of the curve, making your data insights reliable and actionable.
The AI Monitoring Optimization Suggestions focus on user-defined ML monitors parameters such as Run Schedule, Time Window, Time Window Offset, and Monitor Sensitivity. The type of suggestions depends on monitors the user has set up.
Supported Monitor Templates
AI Monitoring Optimization Suggestions are available only for the ML-based Monitor Templates. They won't show for Custom SQL and fixed-threshold monitors.
To learn more about a setting that the Sifflet AI Assistant is making a suggestion about, click "Learn More" on the suggestion panel.
Each Suggestion may be accepted or dismissed. If dismissed, it won’t show up again until some new changes in the dataset occur. If accepted, parameter changes will be applied instantly and a success message will be displayed.
All suggestions are being reanalysed by the AI Assistant every 24 hours, with only a shortlist of the most important ones presented to you. If dismissed, a Suggestion won't appear again for a defined time-period, unless there's a significant change in the monitor parameters or input data.
Updated about 1 month ago