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Waterdip is a powerful AI SaaS platform that provides users with a reliable way to maintain their Machine Learning model's accuracy. Its revolutionary system can Monitor the model's performance over time and Detect any unwanted Drifts in Data and ML ... Read More
KPI (Key Performance Indicator) and Metrics are essential features of software that provide valuable information about the performance and progress of a company or project. KPIs are quantifiable measures used to track and evaluate the success of an organization's objectives, while metrics are the specific data points used to measure these KPIs. These features allow businesses to set targets, monitor progress, and make informed decisions based on real-time data. The KPI and Metrics feature provides a comprehensive overview of the key areas
An app or software sends out alerts, which are actionable and content-rich push notifications. These alerts can be for various reasons, including messages from teammates, reporting managers, or work changes.
Performance Monitoring is a feature that allows users to closely monitor the performance of their software and applications. It is a critical aspect for businesses and organizations, as it helps detect and resolve issues that may affect the overall functioning and efficiency of their systems. This feature enables users to track various metrics such as response time, CPU usage, memory utilization, and network traffic, providing an in-depth understanding of the performance of their software. One of the main benefits of Performance Monitoring is its real-time monitoring capability. Users
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Waterdip is a powerful AI SaaS platform that provides users with a reliable way to maintain their Machine Learning model's accuracy. Its revolutionary system can Monitor the model's performance over time and Detect any unwanted Drifts in Data and ML Models. With Waterdip, users can easily Observe crucial performance matrices like Confusion Matrix, Moving Accuracy, AUC/ROC, Gini, Precision/Recall etc., ensuring that their Machine Learning models remain just as good as
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta
