How SenteticSense Works
learn, predict, notify
a scalable Event HUB to collect data
SenteticSense can extracts data directly from your database or enterprise asset management system. SenteticSense works with any equipment-connected sensors and requires only a few to activate machine learning.
A Machine Learning predictive engine
SenteticSense use existing historical data to identify unseen anomalies, predict future faults, classify assets based on operational behavior, rank individual assets performance in homogeneous groups, provide maintenance, scheduling tasks based on priority classes, optimize periodical maintenance activities.
A RESTful API for data integration
SenteticSense extract non trivial correlation between operating condition and assets behaviors. Our predictive engine analyzes and builds a forecasting model of operating condition, compares real time data to the predicted condition and notifies OSS if there is an anomaly condition.
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@mlpowered: How to ship ML in practice: 1/ Write a simple rule based solution to cover 80% of use cases 2/ Write a simple ML algorithm…
@Charles_Leclerc: I gave it all. Disappointed for the team but not much we could have done better. Congratulations for the win @Max33Ver…
Thanks a lot for your awesome @scrimba tutorial @perborgen! https://t.co/hc8Qc5KiqQ #scrimba
@ayogukingsley_: My Name is Kingsley Ayogu, Am a Nigerian painter and here am I,Making finishing touches on my Recent painting. The Rai…
@liu_mingyu: We have released our #pix2pixHD under the BSD license https://t.co/Q9t7Cg5WaK (It was under CC non-commercial license.) P…
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