Audrey Reznik, Sr. Principal Software Engineer, Red Hat
About this talk
Realizing when mechanical devices (e.g. pump data, manufacturing devices) are having mechanical issues and are showing signs of failure (via sensors) are important items to know when you need to keep them running 24/7. Therefore, creating failure prediction algorithms and/or model(s) are essential parts of your mechanical equipment maintenance toolbox, but how do you get started?
Failure prediction in real time on time series data (gathered by sensors) can be realized with the use of Open Source tools. In this session we will take you through creating data science applications on the edge and how we secure data, models and edge devices.