Background:
I am investigating time-series anomaly detection for industrial machine data, and have stumbled upon GE Predix. It seems like a promising tool, however, I am not familiar with their approaches for anomaly detection.
Question:
Does anyone have experience with GE Predix, in the anomaly detection space? How would one rate its anomaly detection capability? What technical approaches (algorithms) does it use? Any other literature about GE Predix that is openly available that I have missed (besides References below)? Are there any available benchmarks (e.g., versus Splunk + Prelert)? Who are its competitors?
References:
1) https://www.predix.com/sites/default/files/predixplatformbrief-march_2016.pdf
2) https://www.predix.com/sites/default/files/GE-Software-Modernizing-Machine-to-Machine-Interactions.pdf