Redpanda will delve into training and scoring a real-time model on streaming data versus traditional batch-processing methods. They'll also cover the important role of time series data and time-aware features in the context of real-time analytics.

And they'll conduct a live demo — using a flight, weather and air traffic example — to show how you can apply these concepts to your own use cases.

This free, one-hour session will include:
• Brief overview of how real-time streaming model training and scoring is different than batch
• Comparison of time series versus time-aware features
• How to combine multiple data streams for features and scoring
• Demo of flights+weather to predict forward air traffic via realtime streams
• How MLOps changes in a streaming environment and alternatives for missing data