What If You Could Anticipate Plant Issues Before They Happen?
Show how organizations can transform simple operational measurements—such as current, temperature, vibration, speed, flow, or equipment status—into actionable insights to manage plant performance, identify deviations, and enable Artificial Intelligence capabilities for diagnostics, prediction, simulation, and process optimization. This webinar aims to demonstrate that you don't need to start with complex architectures to generate value with AI: the starting point can be the correct selection of variables, their operational contextualization, and their relationship with key performance indicators.
Topics to discuss
Turning plant signals into actionable operational insights
How to relate sensor measurements to equipment status, process conditions, and performance indicators.
Identifying which data truly generates value
How to select critical variables and avoid digitalization projects based solely on accumulating large volumes of information.
Understanding how AI can support operations
Practical AI applications for anomaly detection, diagnostics, predictive maintenance, root cause analysis, and generating recommendations.



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