In the rapidly evolving landscape of AI/ML, the shift from batch to real-time data processing is significant. It impacts how quickly and dynamically we can learn from data, leading to more responsive AI applications.
Watch this online event, as Redpanda explores the shift from batch analytics to real-time decision-making for AI/ML use cases. They start by fostering a broad understanding of how to train and score a real-time model on streaming data, in contrast with traditional batch-processing methods. The discussion moves to the important aspects of time series data and time-aware features in the context of real-time analytics. Then a live demo, using flight and weather data to anticipate air traffic, illustrates a simple application of these concepts that viewers can extend to their own use cases.