This session breaks down what true AI observability demands in high-stakes enterprise environments. We will explore how New Relic delivers deep, real-time insights into distributed AI pipelines, bridging the gap between model behavior, data flows, and infrastructure health. Attendees will learn actionable strategies to detect anomalies before they impact end users, along with a practical framework for implementing AI observability to build trust in autonomous decision-making systems.

 - How modern enterprises are evolving toward autonomy, and why traditional monitoring tools can’t keep up.
 - What “AI observability” really means in the context of mission-critical operations.
 - How New Relic enables deep, real-time insights across distributed, AI-powered environments.
 - Detecting anomalies, system state drift, and performance degradation before they impact customers.
 - Practical steps to implement AI observability and build confidence in autonomous decision-making systems