wemodifi machine learning

wemodifi uses machine learning algorithms to recognize patterns and anomalies so users can fix weaknesses and maximize strengths. This yields a powerful supervised learning environment because it is "generic," and can adapt to many situations without requiring data scientists to manually interact with data regularly.   

Users can start with a template or pick from over a dozen useful widgets to customize your own dashboard. Measurement tools include: schedule management, time-to-complete metrics, comparisons and electronic logging. We utilize end to end encryption on industry leading platforms such as Android and Amazon Web Services (AWS). 

 
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Event Graphs

Event graphs visualize statistics behind any activity or data set. Machine learning works in the background to help you grow.

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Smart Maps

View maps populated with events and/or sensor data to get a “smart” view of data from your devices.

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Schedule Widget

Schedule widget shows clock-in/clock-out times of a workforce. See jobs or tasks in Gantt chart format.

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Raw Data

Quickly and easily view raw data: motion, light, sound, magnetic field.  Set thresholds, rules and alerts.

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Comparative Speed Graphs

Comparative speed graphs show top and average speeds. Set triggers to log events or automate alerts.

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Alerts

Be informed when any rule is broken.  Escalate issues automatically to triage your needs.

 
Every time someone interacts with our software, we learn - via supervised machine learning - how to correlate actions with sensor data. This machine training results in a system capable of knowing with a high degree of certainty what is going on - without human intervention.
— Jim Poss, CEO, wemodifi