Palantir Technologies Inc.

Asapp, Inc.

Punyashloka Biswal

Mark Elliot

Adam Storr

Derek Cicerone

Sixin Li

Ashwin Ramaswamy

Lindsay Ward

Geoff Cameron

Adam Borochoff

Ankit Shankar

Shawn Henry

Greg DeArment

Michael Nazario

Joseph Ellsworth Hackman

Gustavo Sapoznik

John Chakerian

Andrew Colombi

Juan Tamayo

William Hickman

Ben Duffield

Mingyu Kim

Akshay Pundle

David Tolnay

Lee Avital

Ian Mair

Paul Nepywoda

Vicky Sehrawat

Jason Shaev

Omar Ali

Yupeng Fu

Ashar Fuadi

Brian Dillmann

Robert Fink

Ryan McNamara

Benjamin Duffield

Mark Schafer

Walker Burgin

Matthew Lynch

Gregory O'Connor

Caitlin Colgrove

Sander Kromwijk

Matthew Sills

Stephanie Yu

Gabrielle Javitt

Alexandru Antihi

Brandon Krieger

Nir Ackner

Satchuthananthavale Rasiah Kuhan Branavan

Samuel Szuflita

Phillip Chen

Greg Dearment

Diran Li

Helen Kaltegaertner

Shannon Scott

Hashan Buddhika Narangodage

Jeffrey James Young

Nicolas Antomarioni

Geoffrey Kendall Abbott

Michael Hoa Thai

Maria Franco

Ryan Mcnamara

One or more software products/services may be installed on a cloud deployment. Product versions of such services can be upgraded (or rolled back) based on a deployment plan comprising tasks adapted to reach a target deployment state. A central upgrade server can forward tasks to an upgrade agent for execution, the tasks being based on a current operational state of the cloud deployment (obtained by the upgrade agent) and one or more constraints. In multiple node deployments, some nodes may be upgraded to a new product version, while other nodes are kept at a current product version until stability of the new product version is determined. Traffic across nodes can be shaped to ensure a deployment is healthy before upgrading other nodes/deployments. If the health of a node/deployment does not meet specified criteria, an upgrade can be stopped, an alert can be triggered, and the node/deployment can be rolled back.

Constraint-based upgrade and deployment

The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. The data analysis system enables the user to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the user over the course of an investigation, as captured via the user's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on. The data analysis system enables a user to refresh or insert a node in a workflow. The data analysis system further provides data editing, reporting, enrichment, expression language, and charting functionality.

Interactive user interface for dynamically updating data and data analysis and query processing

A computer system may be configured to: execute a first query associated with a first panel; display the first panel in a user interface based on first display settings of the first panel, the first panel displaying at least a portion of the result of the first query, the result of the first query associated with a variable; execute a second query associated with a second panel, wherein the second query refers to the variable associated with the first query; display the second panel in the user interface based on second display settings of the second panel, the second panel displaying at least a portion of the result of the second query; and in response to user input changing the displayed result in the first panel: re-execute the second query; and update the display of the second panel in the user interface based on results of the re-executed second query.

System for providing dynamic linked panels in user interface

The third-party company may provide a user interface to a customer to submit a customer support request regarding a first company. The third-party company may receive a customer identifier from the first device and may request prediction data from the first company using the customer identifier. The third-party company may process the prediction data to predict a customer support request of the customer and generate user interface data corresponding to the predicted customer support request. The user interface data may be transmitted to the user interface before a customer support request from the customer is received.

Predicting customer support requests

Software for a computer system may be automatically generated to reduce costs. Software may be automatically generated using a set of software components where each component may have one or more input properties and one or more output properties. A property may correspond to a type of data (e.g., a customer ID) used by the computer system. A graph may be created from the components where the graph includes component nodes for the components and property nodes for the input and output properties. To automatically generate software for a task, a task specification may be received that includes a task input property and a task output property. A path on the graph may be determined from the task input property and the task output property, and software for accomplishing the task may be generated using components on the path. The software may then be executed or stored for later execution.

Automatic software generation for computer systems

Techniques related to a domain-specific language for transformations are disclosed. A server computer may process a table definition composed in a domain-specific language. The table definition may include a sequence of one or more transformations to be performed on one or more source tables to generate a target table. The sequence may include a customized transformation. A source dataset may be provided as input to an implementation of the customized transformation. An output dataset may be generated as a result of executing the implementation. An intermediate table may be generated based on performing at least one transformation on a particular source table. A supplemental portion for the intermediate table may be generated based on performing the at least one transformation on an appended portion of the particular source table. The target table may be generated based on combining the supplemental portion with the intermediate table.

Domain-specific language for dataset transformations

The programming notebook system, methods, and user interfaces described herein provide software developers with enhanced tools by which a programming notebook workflow and session history associated with code cells in a programming notebook may be tracked and maintained. As a developer progresses through a development workflow, the developer can select an option to save a program code card representing some or all of the program code cell inputs. A card editor user interface may present an aggregated listing of all program code the developer has provided across multiple code cells during the current session which the developer can edit, refine, and/or comment. The card editor may also allow the developer to add associated user interface code to display a UI component associated with the program code card, and allow the developer to add a description and tags for the card so that the card can be searched for and reused.

Storing logical units of program code generated using a dynamic programming notebook user interface

Systems and methods are provided for generating one or more interface objects for facilitating remote interaction between one or more client systems and a server system over a communication network, the one or more interface objects generated from a same interface definition object. The one or more interface objects are stored. A service request is received from a particular client system of the one or more client systems over the communication network. A particular interface object is selected from the one or more interface objects based on the service request. The service request is processed using the particular interface object.

Multi-platform interface framework

A third-party company may assist other companies in providing customer support to their customers. The third-party company may provide software to a computer of a customer service representative to present a user interface to assist the customer service representative in responding to customer requests. Third-party company may also send update data to the computer of the customer service representative to cause a portion of the user interface to be updated, where the update data is determined using an intent of a message received from a customer. A message received from the customer may be processed to determine the intent of the message, a template may be obtained using the intent, and the update data may be generated by rendering the selected template. The update data may then be transmitted to the computer of the customer service representative to cause a portion of the user interface to be updated.

Using semantic processing for customer support

Growing community of inventors

New Haven, CT, United States of America

Punyashloka Biswal