All AI problems are data problems—and one of the biggest is getting AI agents to talk to each other. This special episode with Sean Falconer dives into how agents built by different teams often end up stranded in “intelligence silos,” unable to collaborate or share context. The result? Fragmented AI that struggles to deliver real business value.

Tune in to learn why moving beyond isolated AI experiments calls for a robust data streaming backbone—and how Confluent's strategic partnership with Google Cloud sets organizations up for building multi-agent AI systems at scale. With technologies like Apache Kafka®, agents can tap into a central stream of trustworthy data—effectively creating a nervous system for your AI ecosystem. That backbone enables real-time exchange, scalable collaboration, and reliable intelligence across the enterprise—unlocking speed and innovation that siloed AI can’t deliver.

About the Guest:
Sean Falconer is a Senior Director, Product Management - AI Strategy at Confluent where he works on AI strategy and thought leadership. Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from AI to quantum computing. Sean also hosts the popular engineering podcasts Software Engineering Daily and Software Huddle.

Guest Highlight:
“What is the message between agents? It's just data. You're moving that data from one agent system to another agent system, whether that's a multi-agent system that's collaborating or even these agents that exist in different, you know, parts of the business, you can use data streaming essentially be the bridge where those agents shared language, the shared communication becomes events.”

Episode Timestamps:
*(00:00) - Introduction
*(00:34) - Why AI is Fundamentally a Data Challenge
*(02:17) - Data Streaming: The Foundation for AI
*(07:21) - The “Island of Agents” Problem
*(09:46) - Streaming Agents vs. Chatbots
*(12:35) - The Consequences of Disconnected Agents
*(14:09) - The Power of Event-Driven Architecture
*(25:04) - The A2A Protocol—Google Cloud and Confluent
*(31:19) - Model Context Protocol (MCP)
*(34:13) - Agent Development Kit (ADK)
*(37:36) - Real-World AI Use Cases
*(42:20) - Key GenAI Features on Confluent Cloud
*(45:43) - Wrap-Up: Takeaways

Links & Resources:

Connect with Joseph: https://www.youtube.com/@TheDataGiant
Why Google’s Agent2Agent Protocol Needs Apache Kafka®
Joseph’s LinkedIn: https://www.linkedin.com/in/thedatagiant
Sean’s LinkedIn: https://www.linkedin.com/in/seanf/
Real-Time AI Agents Powered by Apache Kafka®, Apache Flink®, and Google Cloud
Listen to podcast: https://flowsto.com/r/9BRiRRl1c
Learn more at Confluent.io

Our Sponsor
Your data shouldn’t be a problem to manage. It should be your superpower. The Confluent data streaming platform transforms organizations with trustworthy, real-time data that seamlessly spans your entire environment and powers innovation across every use case. Create smarter, deploy faster, and maximize efficiency with a true data streaming platform from the pioneers in data streaming. Learn more at confluent.io.

About the Show
Hosted by Joseph Morais, Life Is But A Stream is for technology leaders looking to embrace the data revolution and transform their organizations through data streaming. Instant analytics, next level customer experiences, and business innovation that was previously unimaginable: it all starts with Life Is But A Stream.

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Shaping the Future of AI: A2A + Data Streaming