# From Sensor Data to Foresight: Prediction and Anomaly Detection Models

> Fabio Rosa and Vitor Lima build prediction and anomaly detection models on TagoIO live: preparing device data for training, forecasting future values, flagging abnormal readings, and putting the results on dashboards and alerts.

![From Sensor Data to Foresight: Prediction and Anomaly Detection Models](https://img.youtube.com/vi/NIZt8Eh9TEc/hqdefault.jpg)

[Watch on YouTube](https://www.youtube.com/watch?v=NIZt8Eh9TEc)

Your devices already produce the data. The next step is getting ahead of it.

Fabio Rosa and Vitor Lima show how to build models on TagoIO that forecast where a sensor reading is headed and flag values that do not belong, so problems surface before your customer calls.

They build the models live: preparing device data for training, creating a prediction model, setting up anomaly detection, and wiring the results into the dashboards and alerts your team and your end users act on.

[llms.txt](https://tago.io/llms.txt)