The groundswell of attention and media coverage around machine learning and artificial intelligence is driving an urgency around how businesses can best leverage AI to drive impact. One of the most powerful shifts we see is the move to applications powered by AI using real-time data to take advantage of events in the moment, from consumers actively engaged with a business to supply chain operations needing to constantly adapt to changing variables.
Understanding how to best architect for real-time AI first requires clarity on the role of events.
Cassandra makes for a particularly efficient solution in this case as Cassandra partitions map to the event data model very cleanly.
Unlike older approaches, which rely on batch processing and costly, time-consuming transformations to bring data to ML, these real-time AI systems drive near-instant actions.