Bringing Streaming Data to AI Systems with Bytewax Connectors

Learn how to enhance AI systems with real-time data processing capabilities in this 19-minute conference talk from OSACon that demonstrates connecting to live data sources using Bytewax within the Python ecosystem. Discover practical implementations for monitoring live streams from edge devices, responding to real-time events, and managing distributed databases, with a focus on integrating streaming data into modern AI tools like LLM applications and RAG systems. Explore how real-time data processing can transform business operations and decision-making processes, making AI systems more responsive and adaptive to immediate data inputs.