公开(公告)号：US20230350662A1

公开(公告)日：2023-11-02

申请号：US17979353

申请日：2022-11-02

申请人： THE BANK OF NEW YORK MELLON

发明人： Francisco Javier Vicente GONZALEZ ,  Abhishek SINGH ,  Jonathan OWEN

IPC分类号： G06F8/65 ,  G06F11/34

CPC分类号： G06F8/65 ,  G06F11/3495

摘要： Provided are systems, methods, and programming for facilitating real-time determination of a process completion likelihood. In some embodiments, data including an update to a system, the update occurring at a first time, wherein updates to the system are permitted until an expiration time may be obtained, a set of fixed descriptors of the system may be retrieved and/or received, and a set of status updates describing the system at prior times may be obtained. Each status update of the set of one or more status updates includes at least (i) an update to the first system and (ii) a time that the respective status update occurred. Based on the data, the fixed descriptors, and the status updates, using a trained machine learning model, a failure/success score indicating a likelihood that, at the expiration time, the system satisfies a threshold condition may be computed and stored in memory.