Taming Agentic AI: Lessons from Streaming Architecture for Scalable, Safe Systems

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Agentic AI is everywhere—but deploying it safely and reliably inside production systems is another story. The move from clever demos to autonomous agents that operate within enterprise infrastructure introduces new risks and architectural challenges. This talk explores how event-driven, streaming architectures can provide the resilient foundation agentic AI demands—enabling observability, scalability, and control in systems that evolve faster than their human overseers. Attendees will learn practical design principles for integrating AI agents into real-world systems without sacrificing reliability or maintainability.


Speaker

Tyler Akidau

Chief Technology Officer @Redpanda Data

Tyler Akidau is the Chief Technology Officer for Redpanda Data, and one of the industry’s foremost experts on stream processing. He has spent the better part of the last two decades working on large-scale streaming systems at Google, Snowflake, and now Redpanda. He is the author of the ever popular Streaming 101 and Streaming 102 articles, and the Streaming Systems book published by O’Reilly.

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Session Sponsored By

 Redpanda is a simple, powerful, and cost-efficient streaming data platform that is compatible with Kafka® APIs while eliminating Kafka complexity.

Date

Tuesday Dec 16 / 01:20PM EST ( 50 minutes )

Location

Room 20

Video

Video is not available

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