Machine Learning prediction models are based on historical data and can be used for the number of use cases to give an accurate insight into processes.
IT operations team are overwhelmed by the number of incidents. This is the reason to use autoremediation which gives a huge boost in challenge response. Unsupervised machine learning takes a responsibility for auto-detections of incidents and their origin.
BDU are buildings block of workflows which are code that is built on AI/ML. We already have created a library of BDU so it is possible to use existing one’s. BDU is a great instrument for analysis, analytics, statistics, forecasting and predictions.
Botprise Smart Library already has a number of (supervised, unsupervised and semi-supervised) Botprise decision units.
Each type of Unit can be used for a specific task.
Supervised ML pretrained model which requires big amount of Data to give predictions of brand-new data.
Unsupervised ML get trained by itself by getting new data for analyses.
Semisupervised ML is simply the combination of supervised and unsupervised models.