Real-Time Event Streaming Patterns for AI-Native Applications

Learn how event streaming patterns form the foundation for AI-powered applications in this 30-minute conference talk from the Toronto Machine Learning Series. Explore distributed event streaming as the backbone of real-time analytics, insights, and intelligence through the expertise of InfinyOn VP Products Debadyuti Roy Chowdhury. Discover how stateful stream processing enables both bounded and unbounded processing patterns to deliver rich datasets, streamline explainability, and enhance consumer experiences. Gain practical insights into implementing event streaming patterns for data collection, enrichment, profiling, aggregation, and measuring drift in AI systems. Understand the critical role of data quality and reliable infrastructure in delivering effective AI-powered experiences through real-world use cases and hands-on examples.