Palantir Technologies Inc.

Jt International S.a.

Other

The Aerospace Corporation

Lacoste Alligator S.a.

Cube Root, Inc.

Palanter Technologies Inc.

James Thompson

Jason Ma

Ilya Nepomnyashchiy

Bing Jie Fu

Steven Berler

Marvin Sum

Parvathy Menon

Jack Grossman

Adam Borochoff

David Cohen

Michael Harris

Michael Kross

Joseph Rafidi

Matthew Sprague

Alexander Visbal

Alex Smaliy

Julia Boortz

Robert Fink

Allen Cai

Mark Schafer

John Chakerian

Suchan Lee

Patrick Szmucer

Devin Witherspoon

Alexei Smaliy

Victoria Lai

Joshua Goldenberg

Robert Kruszewski

Salar Al Khafaji

Tyler Uhlenkamp

Jeppe Hallgren

Joseph Hashim

Ammaar Reshi

Vilmos Ioo

Sam Fendell

Richard Allen Ducott, Iii

Tony Poor

Alexander Landau

Rahij Ramsharan

Amr Al Mallah

Christopher Wynnyk

David Philipson

Lloyd Ho

Ryan Xie

Robert Sloan

Katherine Ketsdever

John Mathews

Charles Clayton Allsopp

Slawomir Mucha

Natasha D'Souza

Wayne Chen Spiegel

Vicktoria Lai

Stawomir Mucha

Rex A Watkins, Jr

Morten Telling

Kamran Khan

Mohamed Zaki Trache

Felix-Gabriel Mance

Martin Copes

Computing systems methods, and non-transitory storage media are provided for retrieving information regarding an operation to be performed by a platform, performing a preliminary validation of the operation, generating details regarding the preliminary validation, transmitting at least a subset of the details of the preliminary validation to the platform, and populating the generated details on an interface. If the preliminary validation fails, the platform refrains from performing the operation. Furthermore, the logic describing the operation can be executed on different platforms and is not bound or limited to one platform.

Approaches of augmenting and streamlining task execution

System and method for generating and displaying data pipelines according to certain embodiments. For example, a method includes: receiving a natural language (NL) query; receiving a model result generated based on the NL query, the model result including a query in a standard query language, the model result being generated using one or more computing models; and generating the data pipeline based at least in part on the query in the standard query language, the data pipeline comprising one or more data pipeline elements, at least one data pipeline element of the one or more pipeline elements being corresponding to a query component of the query in the standard query language.

Systems and methods for generating and displaying a data pipeline using a natural language query, and describing a data pipeline using natural language

In an embodiment, a data processing method comprises, using a distributed database system that is programmed to manage a plurality of different raw datasets and a plurality of derived datasets that have been derived from the raw datasets based on a plurality of derivation relationships that link the raw datasets to the derived datasets: from a first dataset that is stored in the distributed database system, determining a subset of records that are candidates for propagated deletion of specified data values; determining one or more particular raw datasets that contain the subset of records; deleting the specified data values from the particular raw datasets; based on the plurality of derivation relationships and the particular raw datasets, identifying one or more particular derived datasets that have been derived from the particular raw datasets; generating and executing a build of the one or more particular derived datasets to result in creating and storing the one or more particular derived datasets without the specified data values that were deleted from the particular raw datasets; repeating the generating and executing for all derived datasets that have derivation relationships to the particular raw datasets; wherein the method is performed using one or more processors.

Propagated deletion of database records and derived data

A resource dependency system and its associated user interfaces, used for tracking data dependencies and data transformations between resources, may display visual node graphs with resources as nodes and the data dependencies and data transformations associated with the columns as edges between the nodes. The nodes representing the resources may be displayed differently based on relevant differences in the resources they represent, which can be set through various selectable criteria and schemes. The user interfaces may include selectable options for visually arranging the nodes or grouping the nodes into superseding nodes according to how the nodes are displayed or the relevant differences in the resources they represent. Updated properties and data dependencies associated with superseding nodes can be presented to the user.

Resource grouping for resource dependency system and graphical user interface

Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.

Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures

In some embodiments, a method comprises obtaining a pipeline of operations, the pipeline of operations including a plurality of functions providing any of one or more modification operations or visualization operations for a plurality of datasets. A first dynamic visualization of the pipeline of operations at a first level of granularity is generated. A second dynamic visualization of the pipeline of operations at a second level of granularity is generated in response to user input.

Systems and methods for generating dynamic pipeline visualizations

Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a compact, human-readable analysis of the data clusters. The human-readable analyses (also referred to herein as 'summaries' or 'conclusions') of the data clusters may be organized into an interactive user interface so as to enable an analyst to quickly navigate among information associated with various data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation. Embodiments of the present disclosure also relate to automated scoring of the clustered data structures.

Phishing data item clustering and analysis

A resource dependency system may track data dependencies and data transformations for individual columns of the data sets over the span of the data pipeline (referred to as a provenance or lineage of a column). Column provenance/lineage can be logged using metadata or graph-like data structures, which the resource dependency system can generate, store, manage, and access. Column provenance/lineage can be used to generate user interfaces displaying visual node graphs with columns as nodes and the data dependencies and data transformations associated with the columns as edges between the nodes.

Column lineage for resource dependency system and graphical user interface

Using a distributed database system that manages a plurality of different raw datasets and a plurality of derived datasets that have been derived from the raw datasets based on a plurality of derivation relationships that link the raw datasets to the derived datasets, a subset of records that are candidates for propagated deletion of specified data values is determined. One or more particular raw datasets that contain the subset of records is determined. The specified data values from the particular raw datasets is deleted. Based on the plurality of derivation relationships and the particular raw datasets, one or more particular derived datasets that have been derived from the particular raw datasets is identified. A build of one or more particular derived datasets to result in creating and storing one or more particular derived datasets without the specified data values deleted from the particular raw datasets is generated and executed.

Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more documents, the one or more documents being grouped into one or more clusters having a score, and the one or more clusters being grouped into one or more megaclusters, presenting information associated with the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way, and filtering the presented information based on the scores associated with the one or more clusters.

System and method for news events detection and visualization

Various systems and methods are provided that graphically allow health insurance company personnel to identify patient diagnoses that are not accounted for by the health insurance company. Furthermore, the various systems and methods graphically allow health insurance company personnel to identify patients that have not submitted claims for documented ailments or conditions. Thus, the health insurance company may be able to improve its chances of receiving transfer payments from other health insurance companies and/or receiving higher star ratings.

Provider portal

External malware data item clustering and analysis

In one embodiment, a data processing method comprises, using a first computer, in response to detecting a change in a data source: automatically generating a dataset comprising a subset of data from the data source, generating a unique dataset identifier, and associating the dataset identifier with the dataset in digital data storage; generating a display description that comprises: the dataset identifier; and for each particular graphical data display widget among one or more graphical data display widgets, instructions that specify a widget type, an order and one or more widget configuration values for the particular graphical data display widget; transmitting the display description to a second computer.

Automatically generating graphical data displays based on structured descriptions

Growing community of inventors

San Francisco, CA, United States of America

James Thompson