People.ai. has filed a patent for systems and methods to remove electronic activities from systems of record based on filtering policies. The method involves accessing record objects, identifying electronic activities, applying filtering policies, and initiating the removal process. 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 January 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
Filtering electronic activities from systems of record based on policies
The patent application (Publication Number: US20240031449A1) describes a method and system for managing electronic activities stored in record objects of various systems of record. The method involves accessing record objects, identifying electronic activities, parsing them to identify electronic accounts, applying filtering policies, and initiating a process to remove specific electronic activities. The system includes hardware processors configured to perform these steps, including transmitting prompts for removal, generating filtering policies using machine learning algorithms, and maintaining shadow systems of record for removal purposes.
The method and system outlined in the patent application offer a comprehensive approach to managing electronic activities within systems of record. By utilizing filtering policies, electronic activities can be identified, analyzed, and removed based on specific criteria, such as keywords, regex patterns, or logic-based rules. The inclusion of machine learning algorithms enhances the efficiency of generating filtering policies, while the concept of shadow systems of record provides a structured method for removing unwanted electronic activities. Overall, the patent application presents a systematic and automated solution for managing electronic activities within data source providers, offering potential benefits for data organization and compliance purposes.
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