US 12,111,815 B2
Correlating event data across multiple data streams to identify compatible distributed data files with which to integrate data at various networked computing devices
Adam Eric Katz, New York, NY (US); Aman Raghuvanshi, Monmouth Junction, NJ (US); Adam Jarrell Smith, San Diego, CA (US); and Jacob Maximillian Miesner, New York, NY (US)
Assigned to Sightly Enterprises, Inc., New York, NY (US)
Filed by Sightly Enterprises, Inc., San Diego, CA (US)
Filed on May 7, 2021, as Appl. No. 17/314,643.
Prior Publication US 2022/0358115 A1, Nov. 10, 2022
Int. Cl. G06F 16/23 (2019.01)
CPC G06F 16/2365 (2019.01) 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving different data streams via a message throughput data pipe, the different data streams being associated with multiple data sources each associated with a processor and memory, the data including at least a portion of executable instructions;
extracting features from one or portions of data or the executable instructions to form extracted features including units of data representing one or more text data, image data, and audio data, wherein extracting the features includes forming an event composite value (“ECV”) based on adjusted weighting factors;
analyzing a subset of data representing the extracted features to determine event data by executing an instruction to implement one or more natural language processors, one or more image recognition processors, and one or more audio recognition processors to determine the event data by processing the subset of data representing the extracted features, the subset of data being determined based on an algorithm configured to identify cosine similarity, wherein the algorithm uses the cosine similarity to determine similarity between the subset of data representing the extracted features;
generating data representing an event based on the subset of data representing the extracted features as a function of the adjusted weighting factors;
identifying data representing a subset of the multiple data sources associated with the event;
calculating compatibility of a subset of integration data at a cross-stream data processor with distributed data files at the subset of the multiple data sources;
implementing one or more cross-stream data processors configured to communicate event-related data across the multiple data sources; and
transmitting the subset of integration data to integrate with at least one of the subsets of the multiple data sources, at least one of the multiple data sources including a target data file configured to function in response to integration with at least a portion of the integration.