In the evolving landscape of software deployments and cloud infrastructure, Davis® AI root cause analysis is a critical tool for Operations, Site Reliability, and DevOps teams. It enhances productivity by reducing Mean Time to Repair (MTTR) and minimizing the personnel required for incident management. As traditional observability tools struggle to keep up with the demands of automated deployments through platforms like Kubernetes, AI-assisted observability becomes essential. Dynatrace's Root Cause Analysis (RCA) integrates diverse data types including logs, traces, and metrics, offering real-time analysis to address incidents effectively. The new Dynatrace Problems app leverages the Grail™ data lakehouse to provide a comprehensive view of incidents, prioritizing active issues and facilitating quick remediation. Its features include a problem feed for incident triage, AI-generated summaries for swift resolution, and a seamless integration of root-cause information into the user context, all of which significantly streamline operations. The app also supports collaboration and automation, allowing teams to set up alerts and execute no-code workflows for rapid response. Looking forward, Dynatrace plans to enhance transparency with additional features like application maps and improved problem feed segmentation, solidifying its role as an indispensable tool for managing modern software and cloud environments.