The Huntington National Bank

Steven Hittle

Raghu Mundru

Andrew Hopkins

In some implementations, the techniques may include receiving event data. In addition, the techniques may include generating segmented sets of instances by: identifying an event time for each received event instance; sorting the received event instances into a plurality of sets of instances; and segmenting each set of instances of the plurality of sets of instances into a plurality of subsets of instances based on the event time for each event instance of the set of instances. The techniques may include identifying a net capacity change for a subset of instances, the net capacity change being based at least in part on the capacity change of each event instance in the subset of instances. Moreover, the techniques may include comparing the net capacity change to a capacity threshold. Also, the techniques may include providing a notification in response to the respective net capacity change exceeding the capacity threshold.

Ingestion and segmentation of real-time event data

In some implementations, the techniques may include receiving event data as a stream of event instances. Each received event instance is associated with an entity and a capacity change. In addition, the techniques may include identifying an event time for each received event instance. The techniques may include sorting the received event instances into sets of instances. Each set of instances can be associated with a respective entity. Moreover, the techniques may include segmenting each set of instances into subsets of instances based on the event time for each event instance of the set of instances. Each of the plurality of subsets of instances can correspond to a time period. Also, the techniques may include storing each segmented set of instances as stored event data. Further, the techniques may include performing one or more operations with respect to the stored event data.

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Columbus, OH, United States of America

Steven Hittle