Bank of America Corporation

Srinivas Darga

Eric Nathaniel Hunsaker

Daniel Douglas Grace

Christine Roche

Darryl Alan Sansbury

Rajaraman Viswanathan

Bryce Robert Elliott

Michael J Schreder

Greg M Lavelle

Rama Rao Pandrapagada

Sasidhar Purushothaman

Srikanth Vemula

Pragyan Paramita Hembram

Matthew Alexander Calman

Erik Stephen Ross

Patrick Brian Kelly

Earl Wagner

A system is configured for determining a technology stack in a software application to perform a work project. The system receives and evaluates the work based on its characteristics. A plurality of technology stacks is generated by implementing different combinations of technology stack components. The technology stack components include application servers and webservers. Each of the technology stacks is simulated performing the work project. Based on the simulation results of each technology stack, a performance of each technology stack is evaluated. The system identifies a first technology stack performing at a level higher than a performance threshold and at a highest performance level among the plurality of technology stacks. The system deploys the first technology stack in the software application to perform the work project.

System and method for optimizing technology stack architecture

A system is configured for determining a technology stack in a software application to perform a work project. The system receives the work project from a user. The work project is evaluated based on its characteristics. A plurality of technology stacks is generated by implementing different combinations of technology stack components. The technology stack components include application servers and webservers. Each of the technology stacks is simulated performing the work project. Based on the simulation results of each technology stack, a performance value corresponding to a success rate of performing the work project by the software application. The system identifies a first technology stack having a first performance value that is the highest performance value and above a performance threshold value. The system deploys the first technology stack in the software application to perform the work project.

Embodiments of the present invention provide a method, system, computer program product, or a combination of the foregoing for creating a knowledge management system including a performance dashboard monitoring system that is standardized and centralized across the channels and sub-channels in an organization. The performance dashboard monitoring system is used to track, measure, and resolve incidents that occur throughout the channels, sub-channels, systems, and applications of an organization. The system receives information related to two or more incidents, where each incident is associated with one or more of a business channel, sub-channel, or application. The system stores the information on a memory device. The system tracks the status of at least one incident between the occurrence and the resolution of the incident. The system displays on a user interface the information related to the incident on a channel, sub-channel, application, or individual incident level.

Performance dashboard monitoring for the knowledge management system

Embodiments of the present invention address the above needs and/or achieve other advantages by providing a method, system, computer program product, or a combination of the foregoing for creating a knowledge management system for production support that is standardized and centralized across the channels and sub-channels in an organization. The knowledge management system receives information relating to incidents from databases in the organization. The knowledge management system displays via a user interface at least the following information related to at least one incident, the current status of the incident, the recovery guidelines for effecting resolution of the incident, and scoring values associated with the incident. The knowledge management system also stores and displays historical information, contact information, incident reports, and outstanding incident tickets associated with the incident, as well as process maps or flowcharts for systems, applications, and customer views, and an academy for training associates.

Knowledge management system

Embodiments of the present invention provide systems, methods, and computer program products for an operational reliability index ('ORI') scoring system in the knowledge management system that is standardized and centralized across the channels and sub-channels in an organization. The ORI system scores the reliability or confidence of the channels, sub-channels, and applications in an organization. The ORI receives reliability data associated with one or more predictability factors related to a business application. The ORI determines predictability factor reliability scores for each of the one or more predictability factors based on the reliability data and weighted values assigned to the predictability factors. Weighted values are also assigned to the categories, applications, sub-channels, and channels. The ORI determines at least one of a category reliability score, application reliability score, business sub-channel reliability score, or business channel score based on the determined predictability factor reliability scores and the weighted values.

Operational reliability index for the knowledge management system

Embodiments of the present invention provide a method, system, computer program product, or a combination of the foregoing for creating a knowledge management system including an academy system for training and tracking training results of employees in a standardized and centralized location across the channels and sub-channels in an organization. The academy system stores a plurality of training modules, associated with one or more certification programs. The academy system further provides a user training selection interface configured to provide for user selection of one or more of the plurality of training modules. The academy system further provides the user access to the selected training module through an interactive display module interface. The academy system further provides for a user training results interface configured to provide a display of the user training results and stores the user training results of the selected training module in a user training database.

Academy for the knowledge management system

Embodiments of the present invention include a method, system, computer program product, or a combination of the foregoing for creating a knowledge management system with an incident communication interface for production support incidents that is standardized and centralized across the channels and sub-channels in an organization. The incident communication interface system is used to track, identify, and resolve the incidents that occur throughout the organization. The incident communication interface allows business associates to initiate an incident ticket associated with an incident. The incident communication interface also communicates information related to an incident to business associates. The incident communication interface provides the business associates knowledge management system access. The incident communication interface receives user input including details related to resolving the incident and the incident details are stored in the incident report database.

Incident communication interface for the knowledge management system

The disclosure generally relates to knowledge retrieval using a knowledgebase storing general and/or expert knowledge. In particular, the disclosure relates to using complex retrieval techniques to implement an enhanced troubleshooting system that provides relevant information. Aspects of the disclosure retrieve relevant documents to assist in troubleshooting by reasoning with stored representations about the faulty system and its operating environment. After receiving a description of the symptoms and/or other information related to the problem, the system may recommend textual and/or non-textual documents with relevant information for identifying the cause of the problem and restoring operation.

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Charlotte, NC, United States of America

Srinivas Darga