Palantir Technologies Inc.

Sarah Gershkon

James Edward Winchester

Yifei Huang

Laurynas Pliuskys

Grace Garde

Nikhita Singh

Justin Streufert

Mahmoud Abdelsalam

Grant Wu

Jacob Stern

Christian Tessier-Lavigne

Amanda Held

Anthony Anderson

John Urbanik

Stacy Milspaw

Jake Cornelius

Rolando Fentanes

Samuel Lite

Ankit Buddhiraju

Jocelyne Francis

Brian Tatum

Ankit Shankar

John McRaven

Geoff Stowe

Casey Patton

Mikhail Proniushkin

Systems and user interfaces enable integration of data items from disparate sources to generate optimized packages of data items. For example, the systems described herein can obtain data items from various sources, score the data items, and present, via an interactive user interface, options for packaging the data items based on the scores. The systems may include artificial intelligence algorithms for selecting optimal combinations of data items for packaging. Further, the interactive user interfaces may enable a user to efficiently add data items to, and remove data items from, the data packages. The system may interactively re-calculate and update scores associated with the package of data items as the user interacts with the data package via the user interface. The systems and user interfaces may thus, according to various embodiments, enable the user to optimize the packages of data items based on multiple factors quickly and efficiently.

Systems and user interfaces for data analysis including artificial intelligence algorithms for generating optimized packages of data items

In one embodiment, a data processing method comprises generating impression estimate data that specifies an estimated total number of impressions of a plurality of non-program media items that are possible during future transmission of a plurality of media programs via a plurality of media channels; based on the impression estimate data, generating campaign data specifying a target number of impressions of a particular non-program media item and specifying one or more particular media channels to receive the particular non-program media item; based on the campaign data, and based upon transmission schedule data that specifies future times of transmission of the plurality of media programs via the plurality of media channels, automatically determining digitally stored promotional schedule data that specifies a plurality of times to transmit the particular non-program media item to achieve the target number of impressions; wherein the method is performed by one or more computing devices.

Computer-based optimized insertion of non-program media items in media programs

Aspects of the present disclosure relate to graphical representation of an output. A server provides for presentation, at a display device, of a first graphical representation of an output for a class. The server receives a selection of a time range for the class. The server determines, based on the output for the class during the selected time range, a baseline output. The server provides for presentation, in response to the selection of the time range, of a second graphical representation of the output, during the time range, for a family from the class, the second graphical representation indicating a difference between the output for the family and an output value for the family predicted based on the baseline output.

Graphical representation of an output

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New York, NY, United States of America

Sarah Gershkon