Palantir Technologies Inc.

Kai Shen

Mitchell Beard

Roger Hu

Thomas Pearson

Miklos Danka

Laurynas Pliuskys

Sachi Shah

A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes generating a risk data model for the manufacturing facility based on correlations between historical staffing conditions of the manufacturing facility and deviations from existing manufacturing procedures. The method further includes receiving projected operational data that includes information related to anticipated future staffing conditions of the manufacturing facility. The method further includes calculating a risk score based on the projected operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score.

Quantifying, tracking, and anticipating risk at a manufacturing facility based on staffing conditions and textual descriptions of deviations

A system comprising a computer-readable storage medium storing at least one program and a method for determining, tracking, and anticipating risk in a manufacturing facility are presented. In example embodiments, the method includes obtaining operational data associated with a manufacturing facility. The method further includes accessing a risk data model corresponding to the manufacturing facility, and calculating a risk score based on the current operational data using the risk data model. The method further includes causing presentation of a user interface that includes a display of the risk score to provide a user with a measure of risk at the manufacturing facility.

Quantifying, tracking, and anticipating risk at a manufacturing facility, taking deviation type and staffing conditions into account

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Jersey City, NJ, United States of America

Kai Shen