Dynatrace's integration of Davis AI with its AutomationEngine and Grail enables predictive capacity management, allowing operations teams to anticipate and mitigate future capacity shortages in IT environments. By leveraging Dynatrace Notebooks, users can explore key capacity indicators and automate forecasts for resources such as disk space, CPU, and memory. This system predicts potential shortages weeks in advance, providing time for corrective actions to prevent outages. The process involves using DQL queries to train forecasts on recent data, evaluating predictions against thresholds, and triggering remediation actions through custom TypeScript workflows. These actions can include sending notifications or raising alerts, ensuring proactive management of IT resources. The flexibility of Dynatrace's tools facilitates customized responses to predicted shortages, enhancing the reliability of IT infrastructure by preventing critical incidents before they occur.