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公开(公告)号：US20220201030A1
公开(公告)日：2022-06-23
申请号：US17445172
申请日：2021-08-16
Applicant: Palantir Technologies Inc.
Inventor： Corentin Petit , Jacob Albertson , Marissa Kimball , Paul Baseotto , Pierre Cholet , Timur Iskhakov , Victoria Galano
Abstract: Systems and methods are provided for enhanced machine learning refinement and alert generation. An example method includes accessing datasets storing customer information reflecting transactions of customers. Individual risk scores are generated for the customers based on the customer information. Generating the risk score includes providing identified occurrences of scenario definitions and customer information as input to one or more machine learning models, the scenario definitions identifying occurrences of specific information reflected in the datasets, with the machine learning models assign respective risk scores to the customers. An interactive user interface is presented. The interactive user presents summary information associated with the risk scores, with the interactive user interfaces enabling an investigation into whether a particular customer is exhibiting risky behavior, responds to user input indicating feedback usable to update the one or more machine learning models or scenario definitions, with the feedback triggering updating of the machine learning models.
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公开(公告)号：US20250165857A1
公开(公告)日：2025-05-22
申请号：US18645255
申请日：2024-04-24
Applicant: Palantir Technologies Inc.
Inventor： Gabriel Amaral , Pavlo Tyshevskyi , Geoffroy Nicolas , Corentin Petit , Fanny Olivier-Autran , Theophane Gregoir
IPC: G06N20/00
Abstract: A system for managing entity resolution processes is disclosed. The system is programmed to determine whether incoming records correspond to known entities within an ontology framework. The system is also programmed to manage a graphical user interface that allows customizing entity resolution operations and providing feedback on the determination results. The system is further programmed to use the provided feedback to improve machine learning for the entity resolution processes.
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公开(公告)号：US12261872B2
公开(公告)日：2025-03-25
申请号：US17445172
申请日：2021-08-16
Applicant: Palantir Technologies Inc.
Inventor： Corentin Petit , Jacob Albertson , Marissa Kimball , Paul Baseotto , Pierre Cholet , Timur Iskhakov , Victoria Galano
Abstract: Systems and methods are provided for enhanced machine learning refinement and alert generation. An example method includes accessing datasets storing customer information reflecting transactions of customers. Individual risk scores are generated for the customers based on the customer information. Generating the risk score includes providing identified occurrences of scenario definitions and customer information as input to one or more machine learning models, the scenario definitions identifying occurrences of specific information reflected in the datasets, with the machine learning models assign respective risk scores to the customers. An interactive user interface is presented. The interactive user presents summary information associated with the risk scores, with the interactive user interfaces enabling an investigation into whether a particular customer is exhibiting risky behavior, responds to user input indicating feedback usable to update the one or more machine learning models or scenario definitions, with the feedback triggering updating of the machine learning models.
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