Bayesian networks are primarily found in the fields of Artificial Intelligence, Big Data and Smart Data, as well as Industry and Industry 4.0. They are a helpful tool for dealing with large amounts of data and making decisions when not all information is available.<\/p>\n
A Bayesian network is a model that shows how different factors or events can be interconnected and influence each other. What's special about it is that you can make good predictions even with incomplete data. <\/p>\n
Imagine predicting machine failures in a factory. A Bayesian network takes into account various influencing factors such as temperature, maintenance intervals or machine types. For example, if you only know that the temperature was high and maintenance is due, the network can still calculate how likely a breakdown is - and do so very precisely. <\/p>\n
Bayesian Networks help companies to better assess risks, optimise production processes, or intelligently evaluate large amounts of data. They are helpful wherever quick and reliable decisions are required, even when not all facts are known.<\/p>","protected":false},"excerpt":{"rendered":"