Palantir Technologies Inc.

Marie Kindblom

Dayang Shi

Michael Weisz

Kirat Singh

Neha Rathi

Adrien Musset

Marie Inuzuka

Benjamin Ahnert

Jakub Pilch

A method for management of a production pipeline is disclosed. The method may comprise accessing a data model which comprises a plurality of data objects, including one or more assembly objects, each assembly object representing a part to undergo one or more production events to be performed on a part at a first party facility for providing to a second party facility and one or more production event objects, each production event object representing a particular production event and having a plurality of properties, including an associated start time property and an end time property. The method may also comprise receiving selection of one or more production event objects to be linked to a first assembly object and an indication of values for at least the start time property and end time property of the one or more production event objects and receiving input of one or more alert conditions to be linked to the first assembly object. The method may also comprise receiving first input data in relation to one or more of the production event objects that modifies one or both of the start and end time values and determining that the modification meets an alert condition linked to the assembly object. The method may also comprise issuing an alert to a user interface responsive to the determination.

Managing production pipelines

A computing system accesses one or more data sources to determine maintenance optimization data associated with an asset within a set of assets. The maintenance optimization data may include one or more of: upcoming maintenance events for the asset, such as may be predicted based on analysis of historical maintenance information of the asset, a time series of predicted value of the asset over a time period around the upcoming maintenance event, such as within a few days or hours of the maintenance event, and/or a recommended window of time to initiate and/or perform upcoming maintenance events, which may be based on a combination of the expected upcoming maintenance events, and the time series of predicted value of the particular asset, for example.

Predictive data objects

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London, United Kingdom

Marie Kindblom