People.ai. has been granted a patent for a system that generates new node profiles based on electronic activities. The method involves linking activities to existing profiles and creating new profiles for recipients not previously matched, enhancing data management for unique entities. 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 June 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.
Generating new node profiles from electronic activity data
The granted patent US12010190B2 outlines a method and system for managing node profiles associated with unique entities, particularly in the context of electronic activities such as emails. The method involves maintaining a plurality of node profiles, each containing various fields and value data structures that represent data points. The system is designed to access electronic activities transmitted or received through accounts linked to data source providers. It identifies email addresses of senders and recipients, linking activities to existing node profiles or creating new profiles when no match is found. This process includes determining additional values from the electronic activity to enhance the node profiles and applying a matching policy to ensure accurate associations.
Further claims detail the system's capabilities, including the ability to assign new values to candidate node profiles, merge profiles based on matching criteria, and execute deduplication processes to streamline data management. The system can also extract values from email signatures and update profiles accordingly. Additionally, it employs a value detection policy to identify relevant data points from electronic activities, generating confidence scores to assess the accuracy of the values assigned. Overall, the patent presents a comprehensive framework for dynamically managing and updating node profiles in response to electronic communications, enhancing data organization and retrieval.
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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.
