The most relevant response is:
to monitor results and make sure that models are performing as planned
Visualizing the outputs of predictive analytics or machine learning algorithms allows data scientists to track model performance, identify patterns or anomalies, and ensure that their models are making accurate predictions. While enhancing trust and making meetings more interesting can be secondary benefits, the primary importance lies in monitoring results and validating model performance.