A cloud-native observability baseline has until today meant instrumenting your applications and infrastructure to emit telemetry data such as metrics, traces and logs to understand system behavior quantitatively. This baseline is evolving as a new generation of cloud-native AI-enabled applications roll in. These applications are leveraging large language models (LLMs) to become exponentially smarter. The next generation of observability platforms will support AI models and applications out of the box. They will collect much more data & serve as the basis for truly understanding system behavior qualitatively in addition to quantitatively. Intelligent observability is the first step of operating smartly aka AIOps. AIOps, refers to the application of AI, ML, data analysis to manage enterprise apps and infrastructure. As we operate global AI-enabled applications, AIOps leverages intelligent observability and helps reduce time to detect, resolve and even prevent system failures and outages.