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US 2026/0064841 A1Published application
Ai model-based data enrichment pipeline
AssigneeCrowdStrike, Inc.
InventorsDiana Bolocan, Mihaela-Petruta Gaman
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Abstract
The present disclosure provides an approach of generating a request to obtain information corresponding to a data sample. The approach produces, by a processing device, sample metadata using an artificial intelligence (AI) model trained to analyze the data sample and generate the sample metadata. In turn, the approach enriches the data sample based on the sample metadata to produce an enriched data sample.
Claims20
A method, comprising:
- generating a request to obtain information corresponding to a data sample;
- using, by a processing device, an artificial intelligence (AI) model to produce sample metadata based on the request, wherein the artificial AI model is trained to analyze the data sample and generate the sample metadata;
- and
- enriching the data sample, based on the sample metadata, to produce an enriched data sample.
1 more element
A system, comprising:
- a memory;
- and
- a processing device, that is operatively coupled to the memory, to:
- generate a request to obtain information corresponding to a data sample;
- produce sample metadata using an artificial intelligence (AI) model trained to analyze the data sample and generate the sample metadata;
- and
- enrich the data sample, based on the sample metadata, to produce an enriched data sample.
4 more elements
A non-transitory computer readable medium, having instructions stored thereon which, when executed by a processing device, cause the processing device to:
- generate a request to obtain information corresponding to a data sample;
- produce, by the processing device, sample metadata using an artificial intelligence (AI) model trained to analyze the data sample and generate the sample metadata;
- and
- enrich the data sample, based on the sample metadata, to produce an enriched data sample.
1 more element
Dependencies are inferred from the claim text.