People.ai’s patent involves a system that maintains an electronic activity-derived member node network. It generates node profiles, creates a node graph, identifies electronic accounts, determines relevancy scores, and updates connections based on activity context. This innovation enhances network efficiency and relevance. 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 February 2024 was 70%. Grant share is based on the ratio of number of grants to total number of patents.
Maintaining electronic activity derived member node network
A recently granted patent (Publication Number: US11930086B2) discloses a system that utilizes one or more processors coupled with memory to generate node profiles from electronic activities, creating a node graph with nodes and edges connecting them. The system identifies electronic accounts, participant node profiles, and relevant connections between them based on context and activity types. It further allows for the modification of connections based on factors like timestamps, tags, and connection strength determined through comparisons between field-value pairs.
Additionally, the system can detect changes in node profiles not initially identified, generate new node profiles based on new activities, and establish connections between them and existing participant node profiles. The relevancy score for activities is determined using a time decaying function, influencing the strength of connections in the node graph. The patent also covers a method and a computer-readable storage medium with executable instructions to perform the described processes, emphasizing the system's ability to analyze electronic activities, identify relationships between accounts, and dynamically update the node graph for improved data organization and analysis.
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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.
