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🎧 Evolution Exchange AU | Observability on AI Listen Now 👉 https://lnkd.in/g3uDGQfw In this episode, Shauna Rooney is joined by Keshav Murthy and Michael Ewald to explore why observability is becoming one of the most critical foundations for AI adoption. As organisations move from experimentation to enterprise scale AI systems, visibility, explainability, and governance are no longer optional. They are essential for building trust, security, and resilience into increasingly autonomous technologies. The conversation dives into how AI is reshaping modern engineering practices and accelerating development cycles at unprecedented speed. The panel discusses the growing need for traceability across AI workflows, particularly as organisations rely more heavily on AI generated code, automated decision making, and agentic systems. From financial services and compliance to synthetic data and secure AI environments, the episode highlights how observability enables organisations to better understand, monitor, and govern AI behaviour in real time. The episode also explores the balance between innovation and accountability. While AI dramatically lowers the barriers to building and scaling systems, the risks around privacy, security, compliance, and operational oversight continue to grow. Keshav and Michael share practical insights into designing AI systems with observability built in from the beginning, ensuring organisations can move quickly while maintaining confidence in the outcomes AI delivers. #aipodcast #artificialintelligence #observability #datagovernance #evolutionexchangeau

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