Palantir Technologies Inc.

Andrew Poh

William Seaton

Anshuman Prasad

James Ding

Ranajay Sen

John Holgate

Shuo Zheng

John O'Brien

Robert G Barton

Amr Al Mallah

Samuel Sinensky

Christopher Yu

Advaya Krishna

Dylan Cooke

Mark Cinali

Daniel Puller

Jason Chlipala

Randall Dorin

Mitchell Moranis

Thomas Powell

Myles Scolnick

Bianca Rahill-Marier

Andre Frederico Cavalheiro Menck

Steven Fackler

Jim Inoue

Benjamin Lee

Maciej Albin

Paul Gribelyuk

Jonah Scheinerman

Benjamin Grabham

Arion Sprague

Gregoire Omont

Tam-Sanh Nguyen

Various systems and methods are provided for performing soft entity resolution. A plurality of data objects are retrieved from a plurality of data stores to create aggregated data objects for one or more entities. One or more retrieved data objects may be associated with the same entity, based at least in part upon one or more attribute types and attribute values of the data objects. In response to a determination that the one or more of the retrieved data objects should be associated with the same entity, metadata is generated that associates the data objects with the entity, the metadata being stored separately from the data objects, such that the underlying data objects remain unchanged. In addition, one or more additional attributes may be determined for the entity, based upon the data objects associated with the entity.

Focused probabilistic entity resolution from multiple data sources

Systems and methods are provided for identifying relationships between defects. The system may obtain defect items and associated information. Defect items may be compared to one another based on their attributes to determine how related they are. According to the comparisons, defect items may be grouped together into issue items for further analysis by a user. The system may further update a defect comparison model according to user interaction with defect items.

Systems and methods for determining relationships between defects

Embodiments of the present disclosure relate to systems, techniques, methods, and computer-readable mediums for one or more database systems for data processing, including database and file management, as well as systems for accessing one or more databases or other data structures and searching, filtering, associating, and analyzing data. The present disclosure further relates to computer systems and techniques for interactive data visualization and presentation from one or more databases.

Database systems and user interfaces for interactive data association, analysis, and presentation

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San Francisco, CA, United States of America

Andrew Poh