Abstract: A system for facilitating offline processing of electronic transactions at an ATM when the ATM does not support a network connection may be provided. The system may include a mobile device configured to store an updatable account balance of a personal account associated with a user of the mobile device and transaction data associated with a plurality of transactions executed via the mobile device. The system may include the ATM being configured to operate in an offline processing mode when the network connection is unsupported. The offline processing mode may include the ATM receiving a transaction request and account data from the mobile device. The ATM may be configured to authenticate or deny the executing of the transaction request based on a predetermined threshold of transaction locations positioned at a distance greater than or less than a pre-determined distance from the ATM.

Abstract: Methods and apparatus for alternating computing environments for viewing graphical displays is provided. The computing environments may include a 3D environment and a 2D environment. Methods may include monitoring a user interaction with an extended reality (“XR”) headset. In parallel with the monitoring of the user interaction, methods may include running a machine learning (“ML”) prediction algorithm to predict an opportunity to generate a graphical display, the graphical display may be a selectable icon. In response to a selection of the selectable icon, information may be displayed relating to the graphical display. In response to the ML prediction algorithm predicting the opportunity, methods and apparatus may include displaying the graphical display in the 3D environment.

Abstract: Disclosed aspects relate to Internet of Things (IoT) data maturity management. A set of IoT data may be ingested by a data maturity engine. A set of maturity factors which indicates a fitness for utilization of the set of IoT data may be determined. The determining may occur with respect to the set of IoT data by the data maturity engine. A data management operation may be identified by the data maturity engine based on the set of maturity factors for the set of IoT data. The data management operation may be identified to manage the set of IoT data. The data management operation may be carried-out to manage the set of IoT data.

Abstract: A scenario presentation device presents, in an electronic display, selectable for possible activities. The device receives a selection of a first scenario option. The selected first scenario option corresponds to a selected activity that includes an action involving an item to be performed over a period of time. The device determines anticipated changes to the environment over the period of time. Using the anticipated changes to the environment over the period of time, a projected environment representation is determined for the selected activity. The projected environment representation includes one or more images depicting changes to the environment. The projected environment representation is presented in the electronic display.

Abstract: Aspects of the disclosure relate to enhancing redundancy of computer systems. The disclosure provides a system architecture for maintaining operation of computer systems despite technical and infrastructure failures, such as a server going offline or losing network connections. The described architecture may include a digital twin that models the computer system. The digital twin may simulate evolution of data records and use the simulated data records to process computing tasks submitted to the unavailable computer system despite no access to the computer system.

Abstract: Aspects of the disclosure relate to translation of machine interpretable languages. A computing platform may receive a first query in a first format and a second query in a second format. The computing platform may extract non-essential parameters of the first query to produce a query key. The computing platform may generate, using the non-essential parameters of the first query and corresponding pointers, a dictionary of the non-essential parameters of the first query. The computing platform may generate a format statement for the first query by replacing, using the query key and the dictionary of the non-essential parameters, non-essential parameters within the second query with the corresponding pointers. The computing platform may store the format statement in a lookup table along with the query key. The computing platform may translate a third query to the second format using the query key and the format statement.

Abstract: Apparatus and methods for building a digital twin of a datacenter using edge-node computing is provided. Edge-nodes may collect telemetry data points from different infrastructure components of the datacenter. An AI engine may be configured to create a digital twin of the datacenter based on the data points captured by the edge-nodes. The digital twin may be segmented into a plurality of layers, and each layer may represent a different logical layer of the datacenter. Utilizing edge-nodes to capture data points may prevent overloading components of the datacenter and generate a digital twin for any suitable layer (physical or virtual) of datacenter.

Abstract: Aspects of the disclosure relate to electronic messaging security. A computing platform may push, to a client device, an electronic messaging plugin configured to validate steganographic modifications, embedded in electronic messages by the computing platform. The computing platform may intercept an electronic message directed to the client device. The computing platform may generate a steganographic modification to the electronic message. The computing platform may embed, in the electronic message, the steganographic modification, resulting in a modified electronic message. The computing platform may send, to the client device, the modified electronic message, where the client device may configured to validate, using the electronic messaging plugin, the steganographic modification prior to launching the modified electronic message at the client device.

Abstract: Embodiments of the present invention provide a system for analyzing operational parameters of electronic and software components associated with entity applications to detect anomalies. The system is configured for extracting one or more historical images associated with resiliency status of electronic and software components associated with an entity application, analyzing the one or more historical images to generate a pixel wise average of the one or more historical images, generating similarity scores between the one or more historical images, determining a distribution of the similarity scores, receiving a real-time image associated with a current resiliency status of the electronic and software components associated with the entity application, generating a real-time image similarity score for the real-time image, and comparing the real-time image similarity score with the distribution to detect presence of an anomaly.

Abstract: Creation and secure storage of non-fungible tokens (NFT) formed from derivatives of digital properties/assets within a branch of a distributed ledger that stores the original NFT. Each branch of the distributed ledger emanates from a data block of the trunk of the distributed ledger and stores an NFT formed from a derivative of the underlying digital property used to form the original NFT. Each NFT formed from the derivative of the digital property may include a smart contract that defines the parameters for the derivative and logic for determining resource compensation for the creator/owner of the original digital property/asset based on consumption of the derivative digital property/asset. Moreover, sub-branches may emanate from data blocks of the branches of the distributed ledger, with the sub-branches storing an NFT formed from a derivative of the derivative digital property/asset.

Abstract: Systems, computer program products, and methods are described herein for analyzing system health of individual electronic components using component relational graphs. The method includes receiving a process request. The process request is a request to execute a process. The method also includes determining one or more components of the system used during the process. The method further includes generating a component knowledge graph for the process. The component knowledge graph includes one or more nodes corresponding to each of one or more components used during the process. The method still further includes determining a component health rating for each of the one or more components used in the process.

Abstract: Systems, computer program products, and methods are described herein for analyzing system health of individual electronic components using image mapping. The method includes receiving a component health image for a component based on an execution of a process. The method also includes comparing the component health image based on the execution of the process to previous component health image(s) for the component based on one or more previous executions of the process The method further includes determining a component health image similarity score based on the comparison of the component health image to the one or more previous component health images for the component. The method still further includes determining a component health action based on the component health image similarity score. The component health action includes causing a transmission of an alert in an instance in which the component health image similarity score is outside of a threshold range.

Abstract: Aspects of the disclosure relate to transliteration of machine interpretable languages. A computing platform may receive a query formatted in a first format for execution on a first database. The computing platform may translate the query to a second format for execution on a second database by: 1) extracting non-essential portions of the query from the query, and replacing the non-essential portions of the query with pointers to create a query key; 2) storing, along with their corresponding pointers, the non-essential portions of the query as query parameters; 3) executing a lookup function on a query library to identify a translated query corresponding to the query key and including the corresponding pointers; and 4) updating the translated query to include the query parameters based on the corresponding pointers to create an output query. The computing platform may execute the output query on the second database.

Abstract: Aspects of the disclosure relate to computing hardware and software for uniform security access. A computing platform may receive, from a 5G device, a request to access a collaborative experience service. The computing platform may identify whether the 5G device is authenticated. Based on identifying that the 5G device is authenticated, the computing platform may grant the 5G device access to an API that may be used to access the collaborative experience service. The computing platform may identify that attributes of the 5G device comply with a stored security policy, and grant access to the collaborative experience service in response. The computing platform may receive user interaction information from the 5G device, and may input the user interaction information into an anomaly detection model. Based on identifying that the interactions do not comprise an anomaly for the user, the computing platform may maintain the access to the collaborative experience service.

Abstract: Systems, computer program products, and methods are described herein for image categorization and recognition using unsupervised learning. The present disclosure is configured to receive an unseen image; implement a first low pass filter on the unseen image to generate a first version of the unseen image; implement a second low pass filter on the first version of the unseen image to generate a second version of the unseen image; determine a subset of the second version of the recorded images that matches the second version of the unseen image; retrieve a subset of first version of recorded images associated with the subset of second version of recorded images; and determine a first recorded image from the subset of the first version of the recorded images that matches the first version of the unseen image.

Abstract: A system for facilitating offline processing of electronic transactions at an ATM when the ATM does not support a network connection may be provided. The system may include a mobile device configured to store an updatable account balance of a personal account associated with a user of the mobile device and transaction data associated with a plurality of transactions executed via the mobile device. The system may include the ATM being configured to operate in an offline processing mode when the network connection is unsupported. The offline processing mode may include the ATM receiving a transaction request and account data from the mobile device. The ATM may be configured to authenticate or deny the executing of the transaction request based on a predetermined threshold of transaction locations positioned at a distance greater than or less than a pre-determined distance from the ATM.

Abstract: A system for extracting a plurality of biometric indicators from a user profile stored in a memory of a server, wherein the plurality of biometric indicators is derived from the user using facial recognition and fingerprint analysis. The system embeds the extracted plurality of biometric indicators into an avatar associated with the user. Upon receiving a request from the avatar to access a virtual reality (VR) environment, the system determines one or more biometric indicators from the plurality of biometric indicators embedded into the avatar. The system determines a match by comparing the determined one or more biometric indicators with the corresponding biometric indicators from the user profile stored in the memory. In response to determining the match, the system authenticates the avatar and approves the request to allow the avatar to access the virtual environment.

Abstract: Systems, computer program products, and methods are described herein for real-time overload detection using image processing analysis. The present disclosure is configured to receive a first set of images associated with a device, wherein the one or more images are associated with a resiliency status of the device; deploy, using a machine learning (ML) subsystem, a trained ML model on the first set of images of the device; determine, using the trained ML model, a change in the resiliency status of the device based on the first set of images; and generate a notification indicating the change in the resiliency status of the device; and transmit control signals configured to cause a first user input device to display the notification.

Abstract: Authentication/verification of sub-environments that represent entities within an augmented/virtual reality computing network and virtual objects present in the sub-environment that represent individuals associated with the entity. In response to authentication, a sensory-perceptible indicator (e.g., visual, audible or haptic indicators) is presented to users of the virtual reality computing environment that notify the user that the entity or virtual objects representing the entity have been authenticated. Authentication may be performed via watermarks embedded in images present within the sub-environment, capturing and comparing physical characteristics of an authorized individual representing the entity, cryptographic frequency hopping and/or electromagnetic signatures.

Abstract: Systems, computer program products, and methods are described herein for performance monitoring using aggregated telemetry. The present disclosure is configured to receive, from the first performance monitoring engine, a first metadata associated with the first resiliency status; receive, from the second performance monitoring engine, a second metadata associated with the second resiliency status; determine, using a machine learning (ML) subsystem, an overall resiliency status of the device based on at least the first metadata, the second metadata, the first resiliency status, and the second resiliency status; determine one or more actions to be executed on the device, wherein the one or more actions are associated with the overall resiliency status; generate a notification indicating the overall resiliency status of the device and the one or more actions associated with the overall resiliency status; and transmit control signals configured to cause a user input device to display the notification.