System and method for real time pattern identification
First Claim
1. A computer-implemented method comprising:
- receiving a first data stream containing information associated with a transaction and participants of the transaction;
receiving an Artificial Intelligence (AI) algorithm, the AI algorithm being trained to classify the first data stream based on historical information related to the transaction and the participants of the transaction;
receiving metadata associated with the historical information utilized in training of the AI algorithm;
comparing the first data stream to the metadata associated with the historical information; and
based on the comparison, selectively modifying the first data stream to suit the AI algorithm, thereby producing a modified data stream.
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Accused Products
Abstract
A method for near real time patterns identification, in one example embodiment, comprises receiving a data stream containing information associated with a transaction and participants of the transaction and receiving an Artificial Intelligence (AI) algorithm trained to score data in the data stream. The method may further comprise receiving metadata associated with the historical information, comparing the data stream to the metadata by measuring differences between variables included in the historical metadata and the data stream. The method may further comprise modifying the data stream to suit the AI algorithm when the differences between variables are below predetermined threshold values and retraining the AI algorithm based on the data stream when the differences between the variables are greater than the predetermined threshold values. The method may further comprise feeding the data stream to the AI algorithm to classify the variables in the data stream.
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Citations
22 Claims
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1. A computer-implemented method comprising:
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receiving a first data stream containing information associated with a transaction and participants of the transaction; receiving an Artificial Intelligence (AI) algorithm, the AI algorithm being trained to classify the first data stream based on historical information related to the transaction and the participants of the transaction; receiving metadata associated with the historical information utilized in training of the AI algorithm; comparing the first data stream to the metadata associated with the historical information; and based on the comparison, selectively modifying the first data stream to suit the AI algorithm, thereby producing a modified data stream. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-implemented system comprising:
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a data stream receiving module to receive a first data stream containing information associated with a transaction and participants of the transaction, an Artificial Intelligence (AI) algorithm, the AI algorithm being trained to classify the first data stream based on historical information related to the transaction and the participants of the transaction, and metadata associated with the historical information utilized in training of the AI algorithm; an evaluation module to compare the first data stream to the metadata associated with the historical information; and a modifying module to selectively modify the first data stream to suit the AI algorithm based on comparison, thereby producing a modified data stream. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A machine-readable medium comprising instructions, which when implemented by one or more processors, perform the following operations:
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receive a first data stream containing information associated with a transaction and participants of the transaction; receive an Artificial Intelligence (Al) algorithm, the AI algorithm being trained to classify the first data stream based on historical information related to the transaction and the participants of the transaction; receive metadata associated with the historical information utilized in training of the AI algorithm; compare the first data stream to the metadata associated with the historical information; and based on the comparison, selectively modify the first data stream to suit the AI algorithm, thereby producing a modified data stream.
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22. An apparatus comprising:
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means for receiving a first data stream containing information associated with a transaction and participants of the transaction; means for receiving an Artificial Intelligence (Al) algorithm, the AI algorithm being trained to classify the first data stream based on historical information related to the transaction and the participants of the transaction; means for receiving metadata associated with the historical information utilized in training of the AI algorithm; means for comparing the first data stream to the metadata associated with the historical information; and means for selectively modifying the first data stream to suit the AI algorithm based on the comparison, thereby producing a modified data stream.
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Specification