Fair Isaac’s patent involves a method where a distributed process receives a data object with files, passes files to a staging area if a task can’t operate on them, generates tuples, unbundles files, extracts portions, converts into output tuples, and transmits to a data sink. GlobalData’s report on Fair Isaac gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Fair Isaac, AI for workflow management was a key innovation area identified from patents. Fair Isaac's grant share as of February 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Data processing method for distributed processes with file staging area
A recently granted patent (Publication Number: US11900181B2) discloses a computer-implemented method that involves receiving a data object with multiple files from a data source, passing these files to a file staging area, generating a tuple from the data object, unbundling the files, extracting a portion of files, converting them into an output tuple, and transmitting it to a data sink. The method also includes redirecting the tuple to the file staging area if a downstream task cannot process the files, and the data object can be received from various protocols like FTP/S, HTTP/S, Rest, SOAP, or Web Sockets. The unbundling process is based on file bundling types such as ZIP, RAR, or TAR compression formats, and the processed tuple can have file references in formats like CSV, JSON, or XML.
Furthermore, the patent also covers a computer program product and a system that implement the same method described above. The computer program product includes instructions stored in a machine-readable medium that enable the processor to perform the operations mentioned in the method. Similarly, the system comprises at least one programmable processor that carries out the operations of receiving data objects, passing files to a staging area, generating tuples, unbundling files, extracting portions of files, converting them into output tuples, and transmitting them to a data sink. The system also includes features like redirecting tuples, supporting various data protocols, utilizing different file bundling formats, and generating unpacked file references based on specific formatting types like CSV, JSON, or XML.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
