Deep Bayesian Networks belong to the category of Artificial Intelligence and Big Data and Smart Data. They are a special type of artificial neural network that works with probabilities. This method helps computers not only to learn, but also to assess their uncertainty when making decisions.
Imagine a Deep Bayesian Network analysing medical images and recognising a possible disease. Unlike other AI systems, the Deep Bayesian Network also indicates how confident it is in its diagnosis. In other words, it can say whether a result is unambiguous or whether it feels uncertain and human experts should take another look.
Deep Bayesian networks are particularly in demand in the healthcare sector, in Industry 4.0 and wherever secure and traceable decisions are required. This is because their uncertainty assessment increases the trustworthiness of automated systems.
To summarise: Deep Bayesian Networks make artificial intelligence more transparent and reliable by utilising probabilities and making uncertainties visible. This is a clear advantage, especially for sensitive decisions in companies.
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