Probabilistic programming is a term used in the fields of artificial intelligence, Industry and Factory 4.0 as well as Big Data and Smart Data. It describes a modern method that enables computers and machines to calculate probable results instead of relying on fixed rules. This means that they learn from data how likely various events are to occur and can therefore make better and more flexible decisions.
In contrast to classic programmes, which always do the same thing step by step, probabilistic programming works with probabilities. For example, a system can calculate several possibilities and take uncertainties into account.
An illustrative example: A company uses sensors in production to monitor machines. Instead of stopping each machine only in the event of an actual fault, the probabilistic programme calculates how likely a fault is to occur in the near future. It takes into account various data such as temperature, vibration or production volume. This allows maintenance to be scheduled exactly when it is most needed - minimising downtime and saving costs.
Probabilistic programming therefore helps companies to deal with uncertainties and make intelligent, data-based decisions.
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