Fair Isaac’s patent involves a computer-implemented system for analytics and pattern discovery. It collects data from various sources, filters it, prioritizes objectives, enriches data, extracts signals using machine learning, and displays them graphically for human understanding. 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 May 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Data analytics and pattern discovery system
A recently granted patent (Publication Number: US11966873B2) discloses a computer-implemented system designed to collect and analyze data from various sources stored on data storage mediums connected over a communications network. The system filters the collected data, prioritizes discovery objectives, enriches the data based on these objectives, and processes it to identify relationships, anomalies, and patterns within datasets. The extracted signals are graphically displayed to a human operator, enabling them to understand the importance of the data. The system can handle different data types such as time series data, audio data, photographic data, and video data, making it versatile in its applications.
Furthermore, the system allows for the receiving of information framing discovery objectives related to a business plan, with the prioritization process focusing on these objectives. Users can also provide input on relevant data sources, aiding in determining the viability of these sources based on the business plan's aspects. The system's operations include assessing the quality of individual data sources, calculating quality indicators, and providing this information to participants over a network. By using data wrangling techniques, the system generates an enriched form of collected data that is computationally actionable by users, enhancing the overall data processing capabilities of the system. Overall, the patented system offers a comprehensive approach to data collection, analysis, and visualization, catering to a wide range of industries and applications.
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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.
