Abstract: Systems, computer program products, and methods are described herein for multi-platform interoperability in digital environments. The present disclosure is configured to receive one or more platforms, wherein the one or more platforms comprise multi-platform virtual reality, augmented reality, and extended reality environments. In some embodiments, receiving includes transferring the platform to a platforms operational layer. In some embodiments, the system may receive a central features repository dashboard, wherein the central features repository dashboard comprises one or more features. In some embodiments, the system may create a generate, integrate, and tailor (GINT) module, wherein the GINT module comprises a feature tailor, a feature integrator, and a feature generator; and aggregate, within the platforms operational layer, the one or more platforms, the central features repository dashboard, and the GINT module.

Abstract: Embodiments of the present invention provide a system for processing and integrating real-time environment instances into virtual reality live streams. The system is configured for determining that a user is accessing a virtual environment, capturing real-time environment instance associated with the virtual environment via one or more capturing devices, creating a neutral environment template based on processing the real-time environment instance, embedding one or more preferential objects associated with the user into the neutral environment template to generate a preferred environment template, and instantaneously integrating the preferred environment template into a virtual reality live stream associated with the virtual environment in real-time.

Abstract: Embodiments of the present invention provide a system for processing and integrating real-time environment instances into virtual reality live streams. The system is configured for determining that a user is accessing a virtual environment, capturing real-time environment instance associated with the virtual environment via one or more capturing devices, creating a neutral environment template based on processing the real-time environment instance, embedding one or more preferential objects associated with the user into the neutral environment template to generate a preferred environment template, and instantaneously integrating the preferred environment template into a virtual reality live stream associated with the virtual environment in real-time.

Abstract: Systems, methods, and apparatus are provided for fraud screening via smart glasses interactions during an ATM session. A smart glasses device may capture an image of an ATM environment. The ATM and the smart glasses device may be edge nodes on an edge network. An edge platform may use a fraud detection model to classify the image and compare it to stored ATM images. The model may be trained at an enterprise server and stored on the edge platform. In response to a determination of fraud at the edge platform, a fraud alert may be transmitted to the smart glasses device during the ATM session. Edge computing reduces latency to enable real-time smart glasses alerts. The smart glasses device may communicate the fraud alert to other smart glasses devices on the edge network.

Abstract: Systems, methods, and apparatus are provided for fraud screening via smart glasses interactions during an ATM session. A smart glasses device may capture an image of an ATM environment. The ATM and the smart glasses device may be edge nodes on an edge network. An edge platform may use a fraud detection model to classify the image and compare it to stored ATM images. The model may be trained at an enterprise server and stored on the edge platform. In response to a determination of fraud at the edge platform, a fraud alert may be transmitted to the smart glasses device during the ATM session. Edge computing reduces latency to enable real-time smart glasses alerts. The smart glasses device may communicate the fraud alert to other smart glasses devices on the edge network.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for dynamic processing of temporal upstream data and downstream data in communication networks. The invention is configured for dynamic processing and cascading of instance data and configuration files from edge node devices of a distributed network for reduction of latency in data transmissions. The invention involves constructing a first device cluster comprising one or more first cluster edge computing nodes of a plurality of edge computing nodes. In response to receiving a first downstream request for determining a current modification to the first source instance data, embodiments of the invention involves extracting at least one cluster configuration file associated with the at least one cluster edge computing node associated with first edge computing node, and processing the first technology application therewith.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for dynamic processing of temporal upstream data and downstream data in communication networks. The invention is configured for dynamic processing and cascading of instance data and configuration files from edge node devices of a distributed network for reduction of latency in data transmissions. The invention involves constructing a first device cluster comprising one or more first cluster edge computing nodes of a plurality of edge computing nodes. In response to receiving a first downstream request for determining a current modification to the first source instance data, embodiments of the invention involves extracting at least one cluster configuration file associated with the at least one cluster edge computing node associated with first edge computing node, and processing the first technology application therewith.

Abstract: Systems, computer program products, and methods are described herein for providing real-time intelligence engine for data asset discovery. The present invention is configured to receive an indication that a first user has initiated a creation of a first multi-dimensional cube using a first computing node; initiate an asset recovery engine on the first computing device to: compare attributes associated with the first multi-dimensional cube with attributes associated with the multi-dimensional cubes stored on the first edge computing unit of the first computing node to determine a match; retrieve a first configuration file associated with the subset of the one or more multi-dimensional cubes stored on the first edge computing unit of the first computing node; and execute the creation of the first multi-dimensional cube based on the first configuration file using the first computing node.

Abstract: Systems, computer program products, and methods are described herein for providing real-time intelligence engine for data asset discovery. The present invention is configured to receive an indication that a first user has initiated a creation of a first multi-dimensional cube using a first computing node; initiate an asset recovery engine on the first computing device to: compare attributes associated with the first multi-dimensional cube with attributes associated with the multi-dimensional cubes stored on the first edge computing unit of the first computing node to determine a match; retrieve a first configuration file associated with the subset of the one or more multi-dimensional cubes stored on the first edge computing unit of the first computing node; and execute the creation of the first multi-dimensional cube based on the first configuration file using the first computing node.