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Explore how unified data and AI observability enables reliable, production-ready artificial intelligence systems at scale in this 20-minute conference talk from AWS re:Invent 2025. Learn from Peter Milligan, Head of Product Management at Monte Carlo, as he demonstrates how leading companies including Fox, Nasdaq, and American Airlines partner with AWS and Monte Carlo to overcome common AI challenges such as broken data pipelines, model drift, and unpredictable system failures. Discover practical strategies for implementing observability across data pipelines, machine learning models, and AI agents to detect and resolve issues faster, maintain customer trust, and achieve measurable business impact. Gain insights into how comprehensive monitoring and observability frameworks can accelerate AI adoption, improve return on investment, and ensure consistent performance in production environments. The session provides real-world case studies and actionable approaches for building trustworthy AI systems that deliver reliable results at enterprise scale.
