Palantir Technologies Inc.

Jessica Headrick

Andrew Elder

Anand Gupta

Peter Wilczynski

Kendra Knittel

Timothy Wilson

Daniel Cervelli

Cassandra Wang

Ashley Meuser

Ryan Hermstein

Shomik Jain

Megha Arora

Madeleine Brickell

Stewart Beckendorff

Scott Cook

Emma Langfitt

Tate Krasner

Systems, methods, and non-transitory computer readable media are provided for generating or obtaining situations in which scores indicative of a danger or a hazard exceeds a threshold, receiving a selection of a first situation, in response to receiving the selection of the first situation, obtaining intelligence data, asset data, and operational data, analyzing the intelligence data using a trained machine learning model for the first situation; and determining a response measure based on the analyzed intelligence data.

Contextual scenario assessment

A system for automated processing and analysis of audio files for large data sets in a cloud environment. A unified analytic environment can integrate audio machine learning models for processing and analysis with a knowledge management system, including graph presentations of tracked entities, linked to audio files and/or associated translations and transcripts. Entities within such data can be searched or filtered and proposed for tracking, or identified as tracked objects. These features can allow triage and prioritization of audio files for analysis. User interfaces can facilitate feedback on transcription and translation outputs, thereby improving present outputs and future inputs and outputs. Entities speaking or referred to can be found, tagged, and distinguished in audio files (e.g., using speaker identification in audio files, text searching in transcripts, etc.) Users can provide feedback and input on various aspects of a system, to enhance or adjust initial automated or other machine learning outputs.

System and methods for audio data analysis and tagging

Systems and methods are provided for generating and storing data snippets. A data file can be obtained from a data source through a plug-in interface. The data file can be played to a user through an application running on a computing device. An indication can be received from the user, through the application, to tag an entity depicted in the data file during playback of the data file. A snippet of the data file can be stored, wherein the snippet is a portion of the data file corresponding to the entity tagged by the user.

Systems and methods for generating, analyzing, and storing data snippets

Systems and methods are provided for analyzing data snippets. One or more snippets can be associated with a data object of an enterprise data platform. The one or more snippets can be organized based on metadata information associated with the one or more snippets. The organized snippets can be analyzed to determine an activity relating to an entity depicted in the one or more snippets.

Display screen or portion thereof with graphical user interface

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New York, NY, United States of America

Jessica Headrick