Mobile alerting with tracking & escalation for TensorFlow
TensorFlow is an open-source software library for for high performance numerical computation. It can be used from desktops to clusters of servers to mobile and edge devices such as Raspberry Pi. TensorFlow was originally developed by Google AI researchers and comes with strong support for machine learning and deep learning and the flexible numerical computation. Pairing TensorFlow with SIGNL4 can enhance your daily operations with an extension to your mobile team.
There are various use cases possible with TensorFlow:
Video, image and sound recognition
Big data analysis (e.g. financial data)
Pre-processing of sensor data in the field
Deep learning, risk detection, predictive maintenance, fraud detection
How it Works
A small code snippet is all that is needed to integrate TensorFlow with SIGNL4.
Service engineers alerted via mobile push, text and voice
Staff can acknowledge and take ownership for critical events that occur
Alerts are escalated in case of no response
Communicate within an alert to address a particular problem
Alert on critical device states
Two-way integration to interact or set the device state
On-call scheduling to alert the right people at the right time
IoT Service Alerting
IoT Device Management
Finance, Security, IT, Healthcare, Manufacturing, Utility, Oil and Gas, Agriculture, etc.
How To Integrate
Integrating SIGNL4 with TensorFlow
TensorFlow can be used in quite a range of different scenarios.
The following integration demonstrates demonstrates the part of sending certain information to a SIGNL4 team via an HTTP POST request.
SIGNL4 is a mobile alert notification app for powerful alerting, alert management and mobile assignment of work items. Get the app at https://www.signl4.com.