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公开(公告)号：US20230017739A1
公开(公告)日：2023-01-19
申请号：US17377584
申请日：2021-07-16
发明人： Julia M. Feldman , Sara M. Huber , Gopinath Kolanji , Peter F Mello , Kristen Kelly M'Sadoques , Nanda Kishore Nagamalla , Dennis D. Panella, JR. , Karen S. Pavio , Ameya Sambari , Kenneth J. St. Onge , Michael J Stokes , Jessica Taggett
摘要： A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.
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公开(公告)号：US20240331054A1
公开(公告)日：2024-10-03
申请号：US18740127
申请日：2024-06-11
发明人： Julia M. Feldman , Sara M. Huber , Gopinath Kolanji , Peter F Mello , Kristen Kelly M'Sadoques , Nanda Kishore Nagamalla , Dennis D. Pannella Jr. , Karen S. Pavio , Ameya Sambari , Kenneth J. St. Onge , Michael J Stokes , Jessica Taggett
IPC分类号： G06Q40/08 , G06N20/00 , G06Q10/10 , G06Q30/0601
CPC分类号： G06Q40/08 , G06N20/00 , G06Q10/10 , G06Q30/0611
摘要： A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.
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公开(公告)号：US12039607B2
公开(公告)日：2024-07-16
申请号：US17377584
申请日：2021-07-16
发明人： Julia M. Feldman , Sara M. Huber , Gopinath Kolanji , Peter F Mello , Kristen Kelly M'Sadoques , Nanda Kishore Nagamalla , Dennis D. Pannella, Jr. , Karen S. Pavio , Ameya Sambari , Kenneth J. St. Onge , Michael J Stokes , Jessica Taggett
IPC分类号： G06Q40/08 , G06N20/00 , G06Q10/10 , G06Q30/0601
CPC分类号： G06Q40/08 , G06N20/00 , G06Q10/10 , G06Q30/0611
摘要： A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.
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