CPC G06F 16/285 (2019.01) [G06F 9/544 (2013.01)] | 18 Claims |
1. A method comprising:
receiving different data streams via a message throughput data pipe associated with multiple data sources each associated with a processor and memory, the data including at least a portion of executable instructions;
extracting a plurality of features from one or portions of data or the executable instructions to form a plurality of extracted features;
characterizing the plurality of features to classify portions of data as types of one or more of text, video, and audio;
aggregating data representing the plurality of features to form one or more brand intelligence profiles defining the multiple data sources;
receiving integration data to integrate with the subset of the multiple data sources;
filtering the integration data against data representing the one or more brand intelligence profiles to identify the subset of the multiple data sources;
activating a subset of application programming interfaces to transmit a subset of integration data to integrate with the subset of the multiple data sources;
correlating the plurality of extracted features as event data across the different data streams;
computing a rate of diffusivity of the event data; and
identifying data files at the subset of the multiple data sources based on the rate of diffusivity.
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