公开(公告)号：US12013748B2

公开(公告)日：2024-06-18

申请号：US17342678

申请日：2021-06-09

申请人： BANK OF AMERICA CORPORATION

发明人： Madhusudhanan Krishnamoorthy ,  Nagar Parthasarathi Varadarajan ,  Deepika Sehgal

IPC分类号： G06F11/00 ,  G06F11/07 ,  G06F16/22 ,  G06F16/242 ,  G06F16/2455 ,  G06N3/049 ,  G06Q10/0639

CPC分类号： G06F11/079 ,  G06F16/221 ,  G06F16/2445 ,  G06F16/24564 ,  G06N3/049 ,  G06Q10/06395

摘要： Embodiments of the invention are directed to a system, method, or computer program product for providing an intelligent quality accelerator with root mapping system. The system provides a business language model and process automation that stratifies sampling of resource exchanges from products using a machine learning loop and provides an end to end simulation for root cause analysis. In this way, the system provides two layers, a robust sampling and root cause analysis.

公开(公告)号：US20220398523A1

公开(公告)日：2022-12-15

申请号：US17342678

申请日：2021-06-09

申请人： BANK OF AMERICA CORPORATION

发明人： Madhusudhanan Krishnamoorthy ,  Nagar Parthasarathi Varadarajan ,  Deepika Sehgal

IPC分类号： G06Q10/06 ,  G06F16/2455 ,  G06F16/242 ,  G06F16/22 ,  G06N3/04

摘要： Embodiments of the invention are directed to a system, method, or computer program product for providing an intelligent quality accelerator with root mapping system. The system provides a business language model and process automation that stratifies sampling of resource exchanges from products using a machine learning loop and provides an end to end simulation for root cause analysis. In this way, the system provides two layers, a robust sampling and root cause analysis.