Bank of America Corporation

Anton Sumin

Sanjay Pillay

Piedad L Burnside

Avinash Basavant Nigudkar

Silvano Valle

Embodiments of the present invention provide a system for creating configurational blocks used for building continuous real-time software logical sequences. The system is configured for creating a set of configurational blocks associated with building one or more real-time software logical sequences, displaying the set of configurational blocks, via a graphical user interface to a user, allowing the user to select one or more configurational blocks from the set of configuration blocks, receiving the one or more configurational blocks and one or more links associated with connection of the one or more configurational blocks from the user, via the graphical user interface, and generating a continuous real-time software logical sequence based on the one or more configurational blocks and the one or more links received from the user.

System and method for creating configurational blocks used for building continuous real-time software logical sequences

A mobile application development device having a platform processor, a native application converter engine, and a mobile platform framework engine configured to facilitate the development and deployment of mobile applications configured to be run on different mobile operating systems from code that is developed independently and agnostic of the mobile operating system on which it will ultimately run.

Mobile application development device

A system is provided for monitoring computing server performance using an artificial intelligence-based plugin. In particular, the system may be configured to continuously aggregate computing performance metric data of a computing device in the network, such as a server. The system may analyze the performance metric data using an artificial intelligence-based process to identify the hardware and/or software layers affected by computing workloads. Based on identifying the affected layers, the system may predict the impact of future workloads on the server and, based on the predictions, generate one or more recommendations for remediating server outages or downtime which may be caused by unanticipated volumes of network traffic, system calls, and the like. In this way, the system may provide an efficient way to optimize the use of computing resources within the network environment.

System for monitoring computing server performance using an artificial intelligence-based plugin

Two-phase application development device

A computer-executable mechanism captures code modifications for a computer-executable process from a development environment into build packages that may be deployed onto specified target environments with trace, audit, code compliance and rollback options from one single web portal. The mechanism supports build package code changes from different sources, automated test of the resulting build packages, and phantom source control of all packaged code base to reduce the burden on developers to manually source control code. The computer-executable mechanism supports a portal web server for building and deploying build packages to render user responses to configurable actions that may be passed on to a job sequencer to execute a series of jobs. A computer-executable roll-back mechanism takes a snapshot of the target environment prior to deployment of a build package so that a complete release rollback or an incremental release rollback may occur as needed.

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New York, NY, United States of America

Anton Sumin