Bank of America Corporation

Other

Tektronix, Inc.

James Alexander

Stephen Thomas Shannon

David J Smiddy

Brian Joseph Smith

Elizabeth Votaw

Fnu Sidharth

Elizabeth Anne Price

Mousumi Chatterjee

Carl Parziale

Devi Shanmuga Kumar

Shyam Acharya

Penelope York

Richard Scot

Derrick A Parks

Elvin Crabbe, Jr

F N U Sidharth

Harold Joseph Kennedy

Himanshu Goyal

Zeal J Shah

Katharina Mumford

Beth Jean Adamson

Scott Thomas Bonomo

Joseph Justin Chuba

Anthony Pang Fang

Steven L Messick

Brian Phillips

Jacquelin Smith

Michael J Freiling

Kimberly Anne Stittsworth

Aspects of the disclosure relate to a decision model to open and close enterprise facilities. A computing platform may receive one or more attributes associated with an operation of an enterprise facility. Subsequently, the computing platform may identify, based on the one or more attributes, a business operation rule for the enterprise facility. Then, the computing platform may determine, based on the one or more attributes and the business operation rule, an operational parameter for the enterprise facility. Then, the computing platform may compare the operational parameter to a threshold parameter, where the threshold parameter may be indicative of whether to keep the enterprise facility open for business. Then, the computing platform may, upon a determination that the operational parameter fails to exceed the threshold parameter, determine to temporarily close the enterprise facility. Then, the computing platform may redistribute user traffic to one or more open customer resource facilities.

Machine learning based decision model to open and close enterprise facilities

A system for monitoring networked computing devices with integrated electronic data encryption and decryption mechanism is provided. In particular, the system may comprise one or more host applications which may interact with an API layer to transmit encrypted host-related data through a secure data rails to a consolidated data repository. One or more downstream monitoring applications may retrieve and decrypt the host-related data from the consolidated data repository for analysis. In this way, the system may provide a secure, scalable way to monitor host computing systems and flow of sensitive electronic data.

System for monitoring networked computing devices with integrated electronic data encryption and decryption mechanism

With the advent of augmented reality devices becoming increasingly prevalent, accessible, and cross-compatible, there is an opportunity to leverage the capabilities of such devices in order to streamline user interactions related to complex resource activities which require elevated security and typically are only conducted on an in-person basis. The present invention provides systems and methods for securely verifying a user during an augmented reality device session for the purposes of conducting complex resource activities.

Systems and methods for multi-point validation in communication network with associated virtual reality application layer

Embodiments of the present invention provide a system for facilitating a secure way to allow primary users and secondary users to perform interactions remotely via an automated machine and one or more auxiliary devices on the same local network. In particular, the system may assign exclusive control over an automated device and one or more auxiliary devices to a primary user via a computing device connected to the same local network or virtual private network as the automated machine, and may allow the primary user to communicate via the automated machine with a secondary user who wishes to complete one or more resource interactions.

Modular device mesh network for associated device integration

Aspects of the disclosure relate to monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources. In some embodiments, a computing platform may receive, from one or more data source computer systems, passive monitoring data. Based on applying a machine-learning classification model to the passive monitoring data received from the one or more data source computer systems, the computing platform may determine to trigger a data capture process at an enterprise center. In response to determining to trigger the data capture process, the computing platform may initiate an active monitoring process to capture event data at the enterprise center. Thereafter, the computing platform may generate one or more alert messages based on the event data captured at the enterprise center. Then, the computing platform may send the one or more alert messages to one or more enterprise computer systems.

Monitoring devices at enterprise locations using machine-learning models to protect enterprise-managed information and resources

An intelligent scanner device configured to facilitate improved accuracy for storage of scanned documentation. The scanner device may include an image processor, an identification engine, and a metadata engine. The scanner device may utilize artificial intelligence processes to generate metadata information to be stored with scanned documents.

Intelligent scanner device

Embodiments of the present invention provide a system for transforming entity device to a multi-functional device via a remote communication link. In particular, the system may be configured to receive an interaction request from an associate, via an associate device, wherein the interaction request is associated with a user, authenticate the associate using the associate device, in response to authenticating the associate, establish a remote communication link between the associate device and an entity device, receive an activation request from the associate to activate the entity device, via the associate device and the remote communication link, and in response to receiving the activation request, activate the entity device and transform the entity device to a multi-functional device.

System and method for transforming entity device to a multi-functional device via a remote communication link

Embodiments of the present invention provide a system for facilitating a secure way to allow primary users and secondary users to perform interactions remotely via an automated machine, such as an automated teller machine (ATM). In particular, the system may assign exclusive control over an automated device to a primary user via a computing device connected to the same local network or virtual private network as the automated machine, and may allow the primary user to communicate via the automated machine with a secondary user who wishes to complete one or more resource interactions. In some embodiments, the system may invoke one or more auxiliary devices on the same network to complete the interaction.

Remote device linkage for secure communications

A system is provided for processing resource transfers using networked computing systems with extended functionality. In particular, the system may comprise a first resource transfer device which may provide the staging for a resource transfer process initiated by a user. The first resource transfer device may then trigger a second resource transfer device to execute the steps of the resource transfer process, where the process may comprise communicating with one or more backend servers via a middleware component. Accordingly, the system may provide an expedient way to conduct resource transfers within an entity's network.

System for secure resource allocation communication with a network

Embodiments of the invention are directed to a system, method, or computer program product for a wearable device coded for user operational compliance. In this way, the invention comprises system integration of a wearable device for user performance and compliance of operational requirements within user obligations. The wearable device logs time of user initiation of obligations for timekeeping and is programmed for gatekeeping for physical and digital access to user authorized locations and data points. The wearable device codes for generating requests for access to non-authorized locations and data points for temporary needs of the user for obligation fulfillment.

Wearable device for operational compliance

Growing community of inventors

Dripping Springs, TX, United States of America

James Alexander