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As organizations increasingly adopt AI and data-driven strategies, ensuring quality and reliability across the entire data + AI estate has never been more critical. This session will explore 2026 as the year of Data + AI Observability, highlighting key trends driving this transformation. Attendees will gain insights into how observability bridges the gap between data and AI systems across your data, system, code, and models, enabling more trustworthy, scalable, and efficient operations. Join us to learn practical approaches and tools that can future-proof your data and AI initiatives to drive real business impact. Michael Segner Project Manager, Monte Carlo Michael has spoken with hundreds of data teams about their data + AI strategy as the director of product strategy for Monte Carlo. He is the co-author of the upcoming O'Reilly report, "Ensuring Data + AI Reliability Through Observability."