DevOps has long held the principles of telemetry everywhere - observability by another name. We've long known the connection between AIOps and observability but use cases are expanding from plain old incident response. Outcomes of reduced MTTR and more time for improvement and innovation are evolving into customer experience and value outcomes and learning. Analysts like Eveline Oerhlich are writing about predictive analytics. Some argue that if we can predict it, we should have already fixed it. Others recognize that our AI offers us humans ways in which to detect patterns and gain actionable insights into our products and platforms in a way we've never previously been able. In this session, we'll connect observability with outcomes that drive higher levels of organizational performance.