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Machine Learning On The Edge is the implementation of machine learning algorithms within microprocessors, for complete autonomy of connected and intelligent objects. This allows the artificial intelligence to be positioned as close as possible to the operational level.
There are numerous use cases, among them :
• Industry 4.0 with the detection of anomalies directly placed within the thermal sensors of machines,
• The management of buildings with the optimization of electrical consumption via measurements from thermostats,
• Health with the prediction of cardiovascular accidents thanks to connected watches.
The main technological challenge of Edge Machine Learning lies in transforming the algorithms so that they can be executed with very limited technical resources.
Sia Partners masters the Edge Machine Learning technology by relying on a team of more than 100 Data Scientists, as well as on a 10-person IoT Task Force.
composée de 10 personnes.