Event-Driven AI: Stream Processing & Real-Time Analytics Masterclass

Welcome to Module 4 of the B.Tech Artificial Intelligence and Big Data masterclass! In this video, we shift from batch processing to the high-velocity requirements of live data by exploring Real-Time Stream Processing Systems. Discover how modern AI makes decisions in milliseconds using event-driven architectures where data is treated as a continuous, infinite stream. We break down the core streaming ecosystem, including utilizing Apache Kafka as a message broker, implementing windowing strategies (Tumbling, Sliding, and Session), and managing state with Apache Flink for "Exactly-Once" processing semantics. We also dive into the mathematics of predicting message arrival rates using Poisson Distribution models and explore how companies like Uber leverage Kafka for real-time dynamic pricing.

Hashtags #StreamProcessing, #ApacheKafka, #ApacheFlink, #RealTimeData, #BigData, #BTech, #DataEngineering, #TechEducation, #AIArchitecture, #EventDriven

Disclaimer: Please note: This video contains AI-generated images, script and voiceover.

Видео Event-Driven AI: Stream Processing & Real-Time Analytics Masterclass канала Flirting with Technology