From Data Streams to Agent Streams: Kafka as Your Agentic AI Broker
As AI evolves beyond simple chatbots to sophisticated multi-agent systems, real-time streaming has become the backbone of intelligent agent communication. Discover how to architect agentic AI systems that coordinate multiple agents seamlessly through asynchronous messaging.
In this session, you'll learn:
Why Real-Time Context Powers Agentic AI: Understand how streaming architectures enable AI agents to share context, coordinate actions, and make informed decisions in real-time—moving from isolated models to collaborative intelligence.
Use Case: Building Intelligent Chatbots with Agent-to-Agent Communication: Explore a real-world implementation of agentic AI chatbots that leverage Kafka as an asynchronous communication broker. See how multiple specialized agents work together to deliver sophisticated conversational experiences that adapt to user needs dynamically.
Business Impact and Architecture Patterns: Learn the measurable outcomes of agentic architectures and dive into the technical patterns that enable scalable agent orchestration, event-driven coordination, and reliable message delivery.
Modern Kafka Architecture for Agentic AI: Discover why agentic systems demand modern streaming infrastructure and how Amazon MSK Express simplifies deployment while delivering the performance your intelligent agents require.
Watch Agentic AI in Action: See a working multi-agent chatbot system in action, with real-time agent communication flowing through Kafka. Watch how agents coordinate, share context, and deliver intelligent responses—live.
Speaker Bios:
Moe Haidar
Moe Haidar is the Head of Agentic AI & Engineering, leading Nexthink’s most strategic AI initiative, Spark—an AI agent that autonomously resolves employees’ digital issues in context and at scale. He is passionate about solving complex, high-impact problems and building products designed to serve millions of users. His work sits at the intersection of AI, distributed systems, and large-scale software engineering, where he focuses on turning cutting-edge intelligence into reliable, production-grade systems.
Mayank Juneja
Mayank Juneja is a Senior Product Manager at AWS, leading Amazon Managed Service for Apache Flink. He lives at the intersection of real-time data streaming and AI — previously driving Flink SQL, streaming agents, and AI inference products at Confluent. A recognized voice in the streaming community, Mayank has taken the stage at industry conferences including Kafka Summit, Current, and Flink Forward. He holds an MBA specializing in Artificial Intelligence from Northwestern University and a Computer Science degree from BITS Pilani, India.