Palantir Technologies Inc.

Ankit Shankar

Geoff Stowe

Casey Patton

Kayo Teramoto

Andrew Ash

Thomas Mathew

Ben Duffield

Christopher Wynnyk

Lucas Lemanowicz

Spencer Tank

Arthur Thouzeau

Thomas Hasner

Kirat Singh

Mark Elliot

Di Wu

Parvathy Menon

Adam Borochoff

John Kenneth Garrod

Benjamin Duffield

Daniel Erenrich

Allen Cai

Punyashloka Biswal

Bianca Rahill-Marier

Anshuman Prasad

Jacob Scott

Eli Bingham

John Chakerian

Anirvan Mukherjee

Zachary Bush

Rahij Ramsharan

Feridun Arda Kara

Brian Ngo

Arjun Mathur

Mitchell Skiles

Andy Chen

Sri Krishna Vempati

Jonathan Victor

Nikhil Taneja

Greg Martin

Joanna Peller

Samuel Sinensky

Thomas Petracca

Diane Wu

William Dwyer

Scott Adams

Engin Ural

Sean Kelley

Winnie Chai

Christopher Rogers

Ted Mabrey

Ryan Norris

Drausin Wulsin

Gilad Gray

Anuraag Bahl

Vinoo Ganesh

Omar Ali

Darren Zhao

Greg Cohan

Chris Dorsey

Dennis Kwon

Chris Lewis

Asli Ozyar

Aydin Keskin

Mike Reilly

Matt Sills

Spencer Stamats

Samir Talwar

Mackenzie Bohannon

Holt Wilkins

John McRaven

Gautam Punukollu

Paul Gribelyuk

Benedict Cappellacci

Elliot Colquhoun

Raj Krishnan

Alexandra Serenhov

Andrew Eggleton

Brandon Helms

Morten Kromann

Ranec Highet

Aaron Rubin

Nikhil Seetharaman

Xiao Tang

Brian Keohane

Sriram Krishnan

Simon Vahr

Joyce Yu-Hsin Chen

Bar Kaya

Mikhail Proniushkin

Xinyi Wang

Andrew Pettit

Michal Duczynski

Sarah Gershkon

Tareq Alkhatib

Sebastiaan Visser

Patricio Jones Velez

Daniel Kelly

Rushad Heerjee

Issei Nino

Matthew Rauen

A method, performed by one or more processors, including: receiving one or more event records; generating, using the one or more event records, an event descriptor object descriptive of one or more events occurring in a networked system, wherein the event descriptor object comprises a plurality of event properties; receiving one or more entity records; generating, using the one or more entity records, an entity descriptor object descriptive of one or more entities relevant to the security of the networked system, wherein the entity descriptor object comprises a plurality of entity properties; incorporating, into an object graph, the event descriptor object and the entity descriptor object; and associating, in the object graph, the event descriptor object with the entity descriptor object using at least one of the plurality of event properties and at least one of the plurality of entity properties.

System event detection system and method

A data analysis system is disclosed that receives data from a master data system to enable useful and efficient rescheduling of items, taking into account effects of various rescheduling options on various metrics related to the items and/or the scheduling. The data analysis system includes sophisticated data analysis and interactive graphical user interface functionality to enable efficient, multi-variable evaluation of various rescheduling options. The interactive graphical user interface includes interactive functionality for suggesting rescheduling options in view of the effects of those changes on various metrics, evaluating various rescheduling options in view of effects on the various metrics, adjusting instances of metrics related to items/timelines in view of scheduling changes, and the like. Once a set of schedule modifications are determined by the data analysis system, the data analysis system can push the schedule modifications back to the master data system for implementation.

Interactive data analysis and scheduling

A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.

Database system for time series data storage, processing, and analysis

Systems and methods are provided for storing data representing respective sub-elements of a complex task. Data representing one or more links between two or more sub-elements is stored, the links indicating a dependency between said sub-elements. A work order is calculated based on the identified links. A graphical representation of the calculated work order which indicates said sub-elements and their dependencies is provided. The links may indicate a temporal dependency of a second sub-element on a first sub-element and in which the provided graphical representation presents the temporal relationship of the sub-elements. Historical data may be received for association with one or more selected links or sub-elements, the historical data related to a prior event and which affects the temporal relationship between the sub-elements. An updated work order modified by the historical data may be calculated. An updated graphical representation of the work order may be provided.

Graphical representation of a complex task

A data ingestion system normalizes ingested documents and extracts data based on a template that is applied to the documents. In an aspect, the system accesses a document of a document type and determines a template to apply to the document. The system normalizes the document, extracts data values from the document based at least in part on the template, and generates structured data based at least partly on the extracted data.

Data normalization and extraction system

A computer system may be configured to access a rule including one or more conditions, providing a user interface configured for user input of a modification to a condition of the rule, receive from a user, via the user interface, a modification to a first condition of the rule constituting a first changed condition, wherein the first changed condition is associated with a modified rule, determine an output data set, based on an input data set including a plurality of past data samples, and the first changed condition of the modified rule, and update the user interface to include a visualization indicating at least some of the output data set.

Systems and methods for rule management

A system for troubleshooting network problems is disclosed. A model can use demographic information, network usage information, and network membership information to determine an importance of a problem. The importance of the problem for the user who reported the problem, a number of other users affected by the problem, and the importance of the problem to the other users can be used to determine a priority for resolving the problem. Before and after a work order is executed to resolve the problem, network metrics can be gathered, including aggregate network metrics, and automatically presented in various user interfaces. The analysis of the metrics can be used to update a database of which work orders are assigned in response to which problems.

Computer network troubleshooting

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Millbrae, CA, United States of America

Ankit Shankar