Palantir Technologies Inc.

Matthew Julius Wilson

Eugene Mak

Stephen Heitkamp

Alexander Maass

Richard Deitch

Juan Jimenez Puig

Jorien Van Den Bergh

Ben Regev

Maciej Biskupiak

Daniel Patrick Cervelli

Brian Lee

Quentin Spencer-Harper

Dylan Scott

Alexander Ryan

Kevin Verdieck

Guillem Palou Visa

Charles Shepherd

Trevor Sontag

Marissa Miracolo

Trevor Fountain

Tom Alexander

Daniel Horbatt

Emily Nguyen

Harkirat Singh

Nicolas Prettejohn

Rootul Patel

Duncan Hoffman

Patrick Walter

Elise Norman

Elizabeth Patitucci

Yevhen Shevchuk

Joshua Aschheim

Kai Kamberger

Various systems and methods are provided that display various geographic maps and depth graphs in an interactive user interface in substantially real-time in response to input from a user in order to determine information related to measured data points, depth levels, and geological layers and provide the determined information to the user in the interactive user interface. For example, a computing device may be configured to retrieve data from one or more databases and generate one or more interactive user interfaces. The one or more interactive user interfaces may display the retrieved data in a geographic map, a heat map, a cross-plot graph, or one or more depth graphs. The user interface may be interactive in that a user may manipulate any of the graphs to identify trends or current or future issues.

Interactive user interfaces for location-based data analysis

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

Display screen or portion thereof with graphical user interface

Growing community of inventors

London, United Kingdom

Matthew Julius Wilson