Dezide White Paper

Learn how we utilize the benefits of a sound mathematical model for capturing and optimizing expert troubleshooting knowledge.

Capturing knowledge in a computer is difficult – making it accessible and helpful to others is hard.

Still, in this transformation from tacit to explicit knowledge, we can improve efficiency using it.

This synthesis between human expert knowledge and computers can be enabled by an underlying mathematical model, and if this model is sound, the resulting system can help you fix problems faster and transfer skills easier.

We describe a problem and its solutions using three components:

Causes of the problem and their probabilities

Observations for narrowing down the potential causes

Repair actions to fix the problem

This paper explains how we uses a mathematical model for capturing and sharing expert troubleshooting knowledge.

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"We have proven that our technicians can solve a complex problem up to 70% faster using Dezides AI-powered troubleshooting technology combined with our technical expert knowledge."

Dezide White Paper

Learn how we utilize the benefits of a sound mathematical model for capturing and optimizing expert troubleshooting knowledge.

"We have proven that our technicians can solve a complex problem up to 70% faster using Dezides AI-powered troubleshooting technology combined with our technical expert knowledge."

- Ulrik Henriksen, Head of Diagnostics, Siemens Gamesa Renewable Energy