Fair Isaac has been granted a patent for a computer-implemented system that collects data from various sources, filters it, prioritizes discovery objectives, enriches the data, and displays extracted signals graphically for human understanding. The system uses machine learning mechanisms and expert input for analysis. GlobalData’s report on Fair Isaac gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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 April 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.

Data analytics system for discovering patterns and signals visually

Source: United States Patent and Trademark Office (USPTO). Credit: Fair Isaac Corp

A recently granted patent (Publication Number: US11966873B2) discloses a computer-implemented system designed to collect and process 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, 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.

Moreover, the system allows for the receiving of information framing discovery objectives related to a business plan, prioritizing these objectives, and determining the viability of data sources based on aspects of the business plan. Users can also provide input on relevant data sources, further enhancing the system's ability to collect valuable information. Additionally, the system assesses the quality of individual data sources, calculates quality indicators, and provides 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 efficiency and usability of the system.

To know more about GlobalData’s detailed insights on Fair Isaac, buy the report here.

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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.