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US 11,388,487 B2Granted
Systems and methods for generating, analyzing, and storing data snippets
AssigneePalantir Technologies Inc.
InventorsPeter Wilczynski, Kendra Knittel, Andrew Elder, Anand Gupta, Jessica Headrick
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Abstract
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.
Claims20
A system comprising:
- one or more processors;
- and
- a memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform:
- associating one or more snippets associated with an entity with a data object of an enterprise data platform to determine an activity of the entity;
- organizing the one or more snippets based on metadata of the one or more snippets, the metadata including at least timestamp data and location data of the one or more snippets, wherein organizing the one or more snippets comprise:
- clustering the one or more snippets based on the location data of the one or more snippets;
- augmenting the one or more snippets with transactional data associated with the entity based on the timestamp data of the one or more snippets and timestamp data of the transactional data, the transactional data including at least one of commerce transactions, ingress and egress transactions, network login transactions, or geolocations of internet protocol (IP) addresses associated with the entity;
- and
- analyzing the one or more snippets and the transactional data to determine the activity.
6 more elements
A computer-implemented method, the method comprising:
- associating, by a computing system, one or more snippets associated with an entity with a data object of an enterprise data platform to determine an activity of the entity;
- organizing, by the computing system, the one or more snippets based on metadata of the one or more snippets, the metadata including at least timestamp data and location data of the one or more snippets, wherein organizing the one or more snippets comprises:
- clustering the one or more snippets based on the location data of the one or more snippets;
- augmenting, by the computing system, the one or more snippets with transactional data associated with the entity based on the timestamp data of the one or more snippets and timestamp data of the transactional data, the transactional data including at least one of commerce transactions, ingress and egress transactions, network login transactions, or geolocations of internet protocol (IP) addresses associated with the entity;
- and
- analyzing, by the computing system, the one or more snippets and the transactional data to determine the activity.
3 more elements
A non-transitory computer readable medium of a computing system storing instructions that, when executed, cause the computing system to perform:
- associating one or more snippets associated with an entity with a data object of an enterprise data platform to determine an activity of the entity;
- organizing the one or more snippets based on metadata associated with the one or more snippets, the metadata including at least timestamp data of the one or more snippets, wherein organizing the one or more snippets comprises:
- clustering the one or more snippets based on the location data of the one or more snippets;
- augmenting the one or more snippets with transactional data associated with the entity based on the timestamp data of the one or more snippets and timestamp data of the transactional data, the transactional data including at least one of commerce transactions, ingress and egress transactions, network login transactions, or geolocations of internet protocol (IP) addresses associated with the entity;
- and
- analyzing the one or more snippets and the transactional data to determine the activity.
3 more elements
Dependencies are inferred from the claim text.