Palantir Technologies Inc.

Marissa Miracolo

Harkirat Singh

Andrew Ash

Arjun Mathur

Matthew Julius Wilson

Sri Krishna Vempati

Nicolas Prettejohn

Richard Deitch

Alexander Maass

Stephen Heitkamp

Ben Regev

Juan Jimenez Puig

Maciej Biskupiak

Jorien Van Den Bergh

Eugene Mak

Rootul Patel

Duncan Hoffman

Elizabeth Patitucci

Yevhen Shevchuk

Peter Liu

Joshua Aschheim

Kai Kamberger

Elise Norman

Patrick Walter

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.

Automated risk visualization using customer-centric data analysis

Computer-implemented systems and methods are disclosed to interface with one or more storage devices storing a plurality of documents, wherein each of the plurality of documents is associated with one or more tags of one or more predefined hierarchies of tags, wherein the one or more hierarchies of tags include multiple dimensions. In accordance with some embodiments, a method is provided to identify one or more documents from the data storage devices. The method comprises acquiring, via an interface, a selection of one or more tags of the one or more predefined hierarchies of tags. The method further comprises identifying one or more documents from the data storage devices in response to the selection, the identified one or more documents having tags that have a relationship with the selected tags, and providing data corresponding to the identified documents for displaying in the interface.

Systems and methods for organizing and identifying documents via hierarchies and dimensions of tags

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Lancashire, United Kingdom

Marissa Miracolo