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公开(公告)号:US20220383136A1
公开(公告)日:2022-12-01
申请号:US17334191
申请日:2021-05-28
发明人: Manmohan Singh , Shantanu Singh , Vineet Kumar Upadhyay , Madhusudhanan Krishnamoorthy , Amit Ohri , Ruchi Mathur , Kapil Juneja , Karishma Prithviraj Pamnani , Yudhit Mehta
摘要: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive raw market data from a plurality of lines of business of an enterprise organization. Thereafter, the computing platform may preprocess the raw market data to obtain enterprise level market data, execute synthetic DNA stranding of the enterprise level market data to obtain synthetic DNA stranded market data, run the synthetic DNA stranded market data through one or more market volatility models, and compile results from the market volatility models on the synthetic DNA stranded market data. The computing platform may transmit results from the market volatility models on the synthetic DNA stranded market data. The transmitted results may be configured to display a market application interface that includes market volatility forecasting parameters based on results of the market volatility models.
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公开(公告)号:US20220383135A1
公开(公告)日:2022-12-01
申请号:US17334086
申请日:2021-05-28
发明人: Manmohan Singh , Shantanu Singh , Vineet Kumar Upadhyay , Madhusudhanan Krishnamoorthy , Amit Ohri , Ruchi Mathur , Kapil Juneja , Karishma Prithviraj Pamnani , Yudhit Mehta
摘要: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may initiate a set of instructions associated with performing an action on a synthetic DNA market data set associated with a plurality of lines of business across an enterprise organization. Thereafter, the computing platform may convert the set of instructions to a mutant nucleotide sequence, and insert the mutant nucleotide sequence into the synthetic DNA market data set. The computing platform may extract, using the mutant nucleotide sequence, target information from the synthetic DNA market data set, and validate the target information to detect one or more anomalies. The computing platform may remove the one or more data anomalies, and subsequently output a validated synthetic DNA market data set to a synthetic DNA client server.
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公开(公告)号:US11823066B2
公开(公告)日:2023-11-21
申请号:US17334329
申请日:2021-05-28
发明人: Manmohan Singh , Shantanu Singh , Vineet Kumar Upadhyay , Madhusudhanan Krishnamoorthy , Amit Ohri , Ruchi Mathur , Kapil Juneja , Karishma Prithviraj Pamnani , Yudhit Mehta
IPC分类号: G06Q30/02 , G06N3/123 , G06Q30/0202
CPC分类号: G06N3/123 , G06Q30/0202
摘要: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive market data from a plurality of lines of business across an enterprise, wherein the market data is received in a raw, uncompressed format. Thereafter, the computing platform may assimilate and preprocess the market data to output vectored market data. The computing platform may perform a synthetic DNA stranding process on the vectored market data to create one or more strands of synthetic DNA market data, and output the one or more strands of synthetic DNA market data to a synthetic DNA client server, wherein the one or more stands of synthetic DNA market data is configured for input in a market volatility prediction model.
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公开(公告)号:US20220383137A1
公开(公告)日:2022-12-01
申请号:US17334329
申请日:2021-05-28
发明人: Manmohan Singh , Shantanu Singh , Vineet Kumar Upadhyay , Madhusudhanan Krishnamoorthy , Amit Ohri , Ruchi Mathur , Kapil Juneja , Karishma Prithviraj Pamnani , Yudhit Mehta
摘要: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive market data from a plurality of lines of business across an enterprise, wherein the market data is received in a raw, uncompressed format. Thereafter, the computing platform may assimilate and preprocess the market data to output vectored market data. The computing platform may perform a synthetic DNA stranding process on the vectored market data to create one or more strands of synthetic DNA market data, and output the one or more strands of synthetic DNA market data to a synthetic DNA client server, wherein the one or more stands of synthetic DNA market data is configured for input in a market volatility prediction model.
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公开(公告)号:US11422927B1
公开(公告)日:2022-08-23
申请号:US17338851
申请日:2021-06-04
发明人: Madhusudhanan Krishnamoorthy , Sreekanth Raghuveer Maringanti , Manmohan Singh , Sudhir Kumar Biswal
IPC分类号: G06F11/36
摘要: Systems, computer program products, and methods are described herein for testing application resiliency via context aware auditing equilibrium. The present invention is configured to receive an indication to test application resiliency of an application; initiate a resiliency test engine on the application; determine, using the resiliency test engine, one or more artifacts associated with the application to be tested; determine a first subset of the one or more test scripts is able to capture a behavior of a first subset of the one or more artifacts; initiate a context-based classification engine on the first subset of the one or more test scripts and the first subset of the one or more artifacts; classify the first subset of the one or more test scripts into a supporting behavior class and an opposing behavior class; generate a graphical representation of the classification; and display the graphical representation of the classification.
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公开(公告)号:US11823065B2
公开(公告)日:2023-11-21
申请号:US17334191
申请日:2021-05-28
发明人: Manmohan Singh , Shantanu Singh , Vineet Kumar Upadhyay , Madhusudhanan Krishnamoorthy , Amit Ohri , Ruchi Mathur , Kapil Juneja , Karishma Prithviraj Pamnani , Yudhit Mehta
IPC分类号: G06Q30/02 , G06N3/123 , G06Q30/0202
CPC分类号: G06N3/123 , G06Q30/0202
摘要: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive raw market data from a plurality of lines of business of an enterprise organization. Thereafter, the computing platform may preprocess the raw market data to obtain enterprise level market data, execute synthetic DNA stranding of the enterprise level market data to obtain synthetic DNA stranded market data, run the synthetic DNA stranded market data through one or more market volatility models, and compile results from the market volatility models on the synthetic DNA stranded market data. The computing platform may transmit results from the market volatility models on the synthetic DNA stranded market data. The transmitted results may be configured to display a market application interface that includes market volatility forecasting parameters based on results of the market volatility models.
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公开(公告)号:US11823064B2
公开(公告)日:2023-11-21
申请号:US17334086
申请日:2021-05-28
发明人: Manmohan Singh , Shantanu Singh , Vineet Kumar Upadhyay , Madhusudhanan Krishnamoorthy , Amit Ohri , Ruchi Mathur , Kapil Juneja , Karishma Prithviraj Pamnani , Yudhit Mehta
IPC分类号: G06Q30/02 , G06N3/123 , G06Q30/0202
CPC分类号: G06N3/123 , G06Q30/0202
摘要: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may initiate a set of instructions associated with performing an action on a synthetic DNA market data set associated with a plurality of lines of business across an enterprise organization. Thereafter, the computing platform may convert the set of instructions to a mutant nucleotide sequence, and insert the mutant nucleotide sequence into the synthetic DNA market data set. The computing platform may extract, using the mutant nucleotide sequence, target information from the synthetic DNA market data set, and validate the target information to detect one or more anomalies. The computing platform may remove the one or more data anomalies, and subsequently output a validated synthetic DNA market data set to a synthetic DNA client server.
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