Abstract: Apparatus and methods for root-level enforcement of quick response (“QR”) code validation are provided. The apparatus may include a QR code reader for receiving an instruction from a user to scan a QR code and transmitting a request to an operating system (“OS”) running on the apparatus to instruct a camera to capture an image. The apparatus may include an operating system configured to receive the image from the camera and store the image in a temporary cache. While the image is stored in the temporary cache, the operating system may transmit the image to a QR code validator to decode a QR code included in the image and execute a routine to validate a URL included in the QR code. The image may only be transmitted back to the QR code reader by the OS when the URL was validated by the routine.

Abstract: Systems, computer program products, and methods are described herein for analyzing micro-anomalies in anonymized electronic data. The present disclosure is configured to import or retrieve a first data set, process the first data set to develop at least one event-outcome projection, define an outcome projection data set, import or receive a monitored user data set, anonymize the monitored user data set, define an avatar data set process the avatar data set, wherein the steps of import or receive a monitored user data set, anonymize the monitored user data set, and define an avatar data set are repeated one or more times.

Abstract: Systems, computer program products, and methods are described herein for processing data using an optimized machine learning architecture. The present disclosure is configured to monitor usage data for a plurality of network devices; analyze the usage data using a first machine learning engine; determine, based on an output of the first machine learning engine, at least one data trend; and instruct a second machine learning engine to analyze local data associated with the at least one data trend, wherein the second machine learning engine is hosted on a first network device of the plurality of network devices.

Abstract: Apparatus and methods for root-level enforcement of quick response (“QR”) code validation are provided. The apparatus may include a QR code reader for receiving an instruction from a user to scan a QR code and transmitting a request to an operating system (“OS”) running on the apparatus to instruct a camera to capture an image. The apparatus may include an operating system configured to receive the image from the camera and store the image in a temporary cache. While the image is stored in the temporary cache, the operating system may transmit the image to a QR code validator to decode a QR code included in the image and execute a routine to validate a URL included in the QR code. The image may only be transmitted back to the QR code reader by the OS when the URL was validated by the routine.

Abstract: Apparatus and methods for call management is provided. The apparatus may include system architecture comprising a first I/O platform, a processing engine and a second I/O platform. The first I/O platform may receive a call from a calling source and augment the call by pulling data from a calling sources database. The call may then be routed to the processing engine for a determination of whether cached data can satisfy a data request stored in the call. If the cached data cannot respond to the data request in the call, the processing engine may transmit the call to the second I/O platform. The second I/O platform may leverage a vendor data intelligence engine for selecting an appropriate data source to receive the call. The second I/O platform may subsequently format the call for transmission to the appropriate data source and, after the formatting, route the call.

Abstract: Apparatus and methods for call management is provided. The apparatus may include system architecture comprising a first I/O platform, a processing engine and a second I/O platform. The first I/O platform may receive a call from a calling source and augment the call by pulling data from a calling sources database. The call may then be routed to the processing engine for a determination of whether cached data can satisfy a data request stored in the call. If the cached data cannot respond to the data request in the call, the processing engine may transmit the call to the second I/O platform. The second I/O platform may leverage a vendor data intelligence engine for selecting an appropriate data source to receive the call. The second I/O platform may subsequently format the call for transmission to the appropriate data source and, after the formatting, route the call.