Anodot vs DataRPM comparison

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42 views|28 comparisons
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28
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Views
6
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3
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Overview

Anodot provides a real time analytics and automated anomaly detection system that discovers outliers in vast amounts of data and turns them into valuable business insights. Analyzing the massive quantity of metrics generated by today’s businesses – manually or with traditional business intelligence tools – takes time and expertise. Using patented machine learning algorithms, Anodot isolates issues and correlates them across multiple parameters in real time, eliminating business insight latency and supporting rapid business decisions through its uncovered insights.

DataRPM delivers a Cognitive Predictive Maintenance (CPdM) Platform for Industrial IoT. DataRPM uses Meta-Learning technology, integral component of Artificial Intelligence to automate predictions of asset failures. CPdM is a full stack platform available on cloud or on premises that connects to the data lake and then automatically runs multiple Machine Learning experiments, finds patterns & anomalies in data, identifies influencing factors & predictors, and builds an ensemble of predictive models to automate Predictive Maintenance. Not only does CPdM platform delivers descriptive, predictive, prescriptive analytics through Natural Language Discovery module but also provides a closed loop system by integrating these actionable insights through APIs to ERP, CRM, and CMS systems. 

Sample Customers
Rubicon, Microsoft, Credit Karma, LivePerson, AOL, Vroom, Outfit7, Telit, NetSeer, Wix, Inneractive, EyeView, Etoro
Cisco, Micropact, Orange, Jaguar, Transaction Network Services

Anodot is ranked 5th in Anomaly Detection Tools while DataRPM is ranked 7th in Anomaly Detection Tools. Anodot is rated 0.0, while DataRPM is rated 0.0. On the other hand, Anodot is most compared with , whereas DataRPM is most compared with .

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