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US Patent 11769096 Automated risk visualization using customer-centric data analysis

Patent 11769096 was granted and assigned to Palantir Technologies on September, 2023 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
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Patent
Patent

Patent attributes

Patent Applicant
Palantir Technologies
Palantir Technologies
Current Assignee
Palantir Technologies
Palantir Technologies
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11769096
Patent Inventor Names
Kai Kamberger
Marissa Miracolo
Alexander Maass
Richard Deitch
Elizabeth Patitucci
Harkirat Singh
Duncan Hoffman
Rootul Patel
...
Date of Patent
September 26, 2023
Patent Application Number
17568684
Date Filed
January 4, 2022
Patent Citations
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US Patent 7917376 System and method for monitoring patient care
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US Patent 7941321 Facilitating management of service elements usable in providing information technology service offerings
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US Patent 8036971 Generating dynamic date sets that represent market conditions
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US Patent 7168039 Method and system for reducing the horizontal space required for displaying a column containing text data
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US Patent 7529698 Apparatus and method for providing transaction history information, account history information, and/or charge-back information
‌
US Patent 7617232 Centralized terminology and glossary development
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US Patent 7756843 Identifying and processing confidential information on network endpoints
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US Patent 7899796 Batch automated blocking and record matching
...
Patent Primary Examiner
‌
Deirdre D Hatcher
Patent abstract

A customer risk trigger associated with a customer may be identified. A response to the customer risk trigger may be detected. First risk analysis data related to the customer risk trigger may be gathered, based on the response, from a first datastore. Second risk analysis data related to the customer risk trigger may be gathered, based on the response, from a second datastore. A customer risk profile to model risk attribute(s) of the customer may be gathered. The risk attributes may represent a risk correlation between the customer and a prohibited act. Customer risk visualization tool(s) configured to facilitate visual user interaction with the customer risk profile may be gathered. The customer risk visualization tools may be rendered in a display of the computing system. The customer risk visualization tools provide a customer-centric view of risk for various applications, including anti-money laundering applications.

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