Real-Time Training and Scoring in AI/ML Systems

Learn about time series data and time-aware features for real-time analytics in this 25-minute conference talk from AI Dev Day Silicon Valley. Explore how to merge multiple data streams for complex feature creation and scoring, demonstrated through a practical example of anticipating future air traffic. Discover essential MLOps considerations in streaming environments, including strategies for handling real-time data, addressing missing data challenges, and managing data stream failures. Solutions Engineer Wes Wagner from Redpanda shares valuable insights that can be applied to various real-time machine learning applications.