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Effective Utilization of AI in Observability
The key to leveraging AI in observability is not to focus on discarding data but rather on understanding what data to prioritize for analysis. Rather than using AI to determine what data to throw away, the best approach is to utilize AI to identify areas to focus on, potential root causes, and consider possible actions. Combining a semantic model of application, infrastructure, and network with AI, beyond just machine learning models like LLM, can enhance observability and lead to more insightful outcomes.