People.ai. has been granted a patent for a method that links record objects across different systems by comparing field-value pairs to a ground truth. The process involves identifying domain names from electronic activities, determining matches between record objects, and storing associations between them. GlobalData’s report on People.ai 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 People.ai, Quantum machine learning was a key innovation area identified from patents. People.ai's grant share as of July 2024 was 51%. Grant share is based on the ratio of number of grants to total number of patents.
Linking record objects between systems based on electronic activity
The patent US12072883B2 outlines a method and system for processing electronic activities by identifying domain names and matching them with record objects from various data source providers. The method involves several steps, including the identification of a domain name from electronic activity data, determining if this activity corresponds with existing records in a first system of record, and if not, searching for matching records in a second system of record. The process utilizes one or more processors to analyze field-value pairs from the identified records, ultimately establishing associations between the electronic activity and relevant record objects. This method aims to enhance data accuracy and retrieval efficiency across multiple data sources.
Additionally, the claims detail various functionalities, such as the ability to identify multiple domain names, assess their types, and generate new record objects when no matches are found. The system is designed to maintain local systems of record and utilize data structures for efficient data management. It also incorporates policies for matching records and determining confidence scores based on comparisons of field-value pairs. The patent emphasizes the importance of linking electronic activities to relevant records, thereby improving data integrity and facilitating better data-driven decision-making processes.
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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.
