Bank of America Corporation

Mahesh Ganesan

Suki Ramasamy

John Dinakar Iruvanti

Rajalakshmi Arumugam

Sreenivas Chintada

Vipul Chaudhari

Srinivasan Bhaskaran Kasyap

Debendra Sharma

A system is provided for code base sharing during computing application failure using a distributed register network. In particular, the system may comprise a plurality of computing application systems that are associated with one another and stored on a distributed register. In this regard, the distributed register may share a code base as well as processing logs for each application. The system may use a deep learning based machine learning process for identifying the dependencies, input data sources for each application, and expected data outputs. Accordingly, if an application experiences a failure, the payload of the failed application may be read and/or processed by another application to maintain the workflow. Furthermore, the system may use AI/ML processes to analyze the code base and/or system logs associated with application failures and generate recommendations for remediating failures.

System for code base sharing during computing application failure using a distributed register network

A system is provided for detecting multi-dimensional linkage and layering of resource transfers using a distributed server network. In particular, the system may comprise a plurality of distributed server nodes that each host a copy of a distributed register, where each of the nodes may be operated by an entity. Each distributed server node may submit, to the distributed register, data records that may contain data regarding potential unauthorized users, accounts, and/or resource transfers. Based on the information within the distributed register, along with various other data inputs, the system may use a deep learning-based graph processing algorithm to identify a multi-dimensional linkage between the users, accounts, and/or resource transfers to extract hidden relationships and potentially unauthorized activity.

System for detecting multi-dimensional linkage and layering of resource transfers using a distributed server network

Some aspects disclosed herein are directed to, for example, a system and method comprising a client device receiving an input of at least a portion of a message. The client device may display, on a display of the client device, the at least the portion of the message. The client device may transmit, to a server device, the at least the portion of the message for display via a second client device. The client device may receive, from a user of the client device or a user of the second client device, a request to generate a marker for the at least the portion of the message. In response to the receiving the request to generate the marker, the client device may determine, based on a lexicon, a name for the marker for the at least the portion of the message. The client device may store, at a storage location, the name for the marker for the at least the portion of the message, an identifier for the at least the portion of the message, and an association between the name for the marker for the at least the portion of the message and the identifier for the at least the portion of the message.

Processing system for intelligently linking messages using markers based on language data

A system includes a server associated with a resource utilization, a database storing historical data including resource utilization values over a first time period, and a processor. The processor identifies, from the historical data, a maximum resource utilization value and determines a duration of time for which the resource utilization exceeds a percentage of the maximum. The processor predicts, based on the historical data, a maximum predicted resource utilization value over a second time period, later than the first. The processor also determines, based on the historical data, an upper bound of a resource utilization confidence interval. The processor generates, based on the maximum value over the first time period, the duration of time, the maximum predicted value over the second time period, and the upper bound, a recommendation to consolidate the server with a second server and/or to release computational resources. The processor transmits the recommendation to an administrator.

Real-time server capacity optimization tool using maximum predicted value of resource utilization determined based on historica data and confidence interval

Some aspects disclosed herein are directed to, for example, a system and method comprising a client device receiving an input of at least a portion of a message. The client device may transmit, to a server device, the at least the portion of the message for display via a second client device. The client device may determine an identifier for the at least the portion of the message. The client device may determine, based on a lexicon, a marker name for the at least the portion of the message. The client device may generate an association between the marker name for the at least the portion of the message and the identifier for the at least the portion of the message. The client device may store, at a storage location, the marker name for the at least the portion of the message, the identifier for the at least the portion of the message, and the association between the marker name for the at least the portion of the message and the identifier for the at least the portion of the message.

Growing community of inventors

Chennai, India

Mahesh Ganesan