Building a Streaming Agentic AI Pipeline with Redpanda and Snowflake

In this technical talk for developers, architects and the technically curious, Paul will cover recent developments within Redpanda Connect.

Firstly, we will highlight new capabilities that enable agentic AI processes to be applied to streaming data. By using tools for external integration, we will show how to build highly specialized and capable AI agents that interact with external systems, providing essential additional context to LLMs.

In the second part of the talk, we will show how recent developments in Redpanda Connect that can also enable high throughput data ingestion into Snowflake (via Snowpipe Streaming).

Finally, we will combine all of these techniques together into a single, end-to-end demo.


Speaker

Paul Wilkinson

Principal Solutions Architect @Redpanda

Paul Wilkinson is an innovative technologist with a multi-faceted background in research, development, training and consulting. As a hands-on practitioner with two decades of experience in the technology industry, Paul has developed a passion for solving the most difficult challenges. His current focus at Redpanda is on reducing the time-to-value for Redpanda customers through automation and tooling. As a Principal Solutions Architect, Paul works closely with Redpanda's customers in EMEA to accelerate the development of production data streaming applications.
 

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

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