Insights from Predictive Maintenance can be amplified by knowing the “why” behind them. There are different techniques to the why aspect, with Causality and Prediction being the most prominent.
Causality and Prediction are equally important, as causality explains the reasons for an outcome, while prediction tells you when that probable outcome will happen. In real world scenarios, the balance between the two is the key factor for any successful IIoT solution. This webinar helps to identify the right approach based on the use case and the process to help convert insights into actionable insights.
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