Palantir Technologies Inc.

Kayo Teramoto

Ankit Shankar

Lucas Lemanowicz

Casey Patton

Thomas Hasner

Kirat Singh

David Tobin

Allen Cai

Daniel Deutsch

Eliot Ball

Michael Nazario

Nicholas Miyake

Mikhail Proniushkin

Dylan Scott

Kevin Verdieck

Wilson Wong

Brian Ngo

Zachary Bush

Aditya Dahiya

Calvin Fernandez

Christopher Wynnyk

Izaak Baker

Xiaohan Zhang

Ayush Sood

Audrey Kuan

Sean Kelley

Grace Wang

Jiaji Hu

Siddharth Rajgarhia

Jerry Chen

Jonathan Hong

Clark Minor

Holly Xu

Paul Gribelyuk

Christopher Rogers

Aaron Rubin

Thomas Mathew

Darren Zhao

Christopher Rodgers

Matthew Hawes

Faith Cataltepe

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

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

Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.

Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data

Growing community of inventors

San Francisco, CA, United States of America

Kayo Teramoto