Abstract: Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Abstract: Arrangements for generating and using client-side generated one-time passcodes (OTP) for transaction processing are provided. A request to register a user and/or user computing device for client-side OTP processing may be received. A request to register a merchant for client-side OTP processing may also be received and, in respond, a unique access key unique to the merchant may be generated and transmitted to one or more devices. A request to process a transaction may be received and may include the unique access key, transaction details, and user device data. The request may be analyzed to determine whether one or more criteria are met. If so, client-side OTP functions may be enabled. If not, client-side OTP functions might not be enabled and, instead, a request for additional authentication data may be generated and transmitted to the user computing device for display.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Abstract: Apparatus and methods for unlocking a communication terminal. The methods may include: at the communication terminal, receiving from eye wear of a user, a radio frequency (“RF”) signal that includes a public code. The methods may include: at the communication terminal, receiving from eye wear a request for text that is encrypted using the public code. The methods may include: responsive to the request, transmitting to the communication terminal encrypted text based on the public code. The methods may include displaying on the communication terminal the encrypted text. The methods may include detecting at the terminal, without displaying a decryption of the encrypted text, a user gesture based on the encrypted text. The methods may include providing to the user a private code corresponding to the public code. The private code may be configured to reside in machine readable memory on the eye wear.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may establish a virtual assistant session with a mobile banking application executing on a mobile device, which may include authenticating at least one authentication credential associated with an online banking account. The computing platform may receive an assistance message from the mobile device requesting assistance. Using a machine learning model, the computing platform may identify an intent of the assistance message. The computing platform may generate a response message based on the intent of the assistance message. The computing platform may send the response message and one or more commands directing the mobile device to output an audio response file based on the response message to the mobile device, which may cause the mobile device to convert the response message into the audio response file and output the audio response file.

Abstract: Apparatus and methods are provided for extracting and displaying information and data from a stream of information on a pair of smart glasses. One or more content filters describing the desired information and data may be communicated to a content filtering module. The content filtering module may process the stream of information to search for the desired information and data. When the desired information is found within the stream of information, the content filtering module may highlight the desired information, while blurring all other information, within a display on the pair of smart glasses.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may establish a virtual assistant session with a mobile banking application executing on a mobile device, which may include authenticating at least one authentication credential associated with an online banking account. The computing platform may receive an assistance message from the mobile device requesting assistance. Using a machine learning model, the computing platform may identify an intent of the assistance message. The computing platform may generate a response message based on the intent of the assistance message. The computing platform may send the response message and one or more commands directing the mobile device to output an audio response file based on the response message to the mobile device, which may cause the mobile device to convert the response message into the audio response file and output the audio response file.

Abstract: Apparatus and methods for unlocking a communication terminal. The methods may include: at the communication terminal, receiving from eye wear of a user, a radio frequency (“RF”) signal that includes a public code. The methods may include: at the communication terminal, receiving from eye wear a request for text that is encrypted using the public code. The methods may include: responsive to the request, transmitting to the communication terminal encrypted text based on the public code. The methods may include displaying on the communication terminal the encrypted text. The methods may include detecting at the terminal, without displaying a decryption of the encrypted text, a user gesture based on the encrypted text. The methods may include providing to the user a private code corresponding to the public code. The private code may be configured to reside in machine readable memory on the eye wear.

Abstract: A system is provided for mobile log heatmap-based auto test case generation. In particular, the system may continuously track and log user actions and data flows for applications within the production environment. Based on the logs, the system may generate a navigation network graph through which the system may identify all possible navigation paths that may be taken by the user to access certain functions or screens of the application. Once the paths have been identified, the system may collect and sanitize testing data based on user session and system interaction data in the production environment. The testing data may then be used to drive the development of the next release or version of the application.

Abstract: A crash prediction computing system includes a machine learning module capable of analyzing data logs associated with each of a plurality of services or applications to identify and categorize every error, exception, and/or crash, such as those resulting from client system interactions based on crash type, customer profile type, customer screen navigation flow, time or crash. The machine learning algorithms continuously train the crash prediction models for each crash category with associated client computing system navigation flow. The crash prediction computing system applies each model before each screen/activity navigation to predict whether the next move will result in an error, exception or crash, and for each predicted error, exception, or crash, automatically implement alternate route functionality to arrive at a desired target.

Abstract: Aspects of the disclosure relate to impact analysis in a next-release quality assurance environment for a software application. First log data associated with user navigation of user interface components in a production environment may be retrieved. A production navigational graph may be generated, where a node represents a user interface component visited by a user, and an edge representing a navigational link traversed by the user. Then, second log data associated with release notes for a next-release version of the software application maybe retrieved. Then, the computing platform may identify a change in a portion of a software code in the next-release version, and may identify, based on the production navigational graph, a user interface component and/or a link potentially impacted by the change. The production navigational graph may be provided, via an interactive graphical user interface, where the user interface component and/or the link is visually highlighted.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Abstract: Aspects of the disclosure relate to using machine learning to simulate an interactive voice response system. A computing platform may receive user interaction information corresponding to interactions between a user and enterprise computing devices. Based on the user interaction information, the computing platform may identify predicted intents for the user, and may generate hotkey information based on the predicted intents. The computing platform may send the hotkey information and commands directing the mobile device to output the hotkey information. The computing platform may receive hotkey input information from the mobile device. Based on the hotkey input information, the computing platform may generate a hotkey response message. The computing platform may send, to the mobile device, the hotkey response message and commands directing the mobile device to convert the hotkey response message to an audio output and to output the audio output.

Abstract: Systems, computer program products, and methods are described herein for generating a state instance map for automated regression testing. The present invention is configured to initiate a regression testing engine on a second version of an application; determine one or more states of the second version of the application; capture one or more screenshots of the one or more user interfaces of the second version of the application; map the one or more screenshots of the one or more user interfaces with the one or more states; generate one or more nodes based on at least the mapping; generate one or more edges based on at least the action-based navigation; and generate a second state instance map based on at least the one or more nodes and the one or more edges.

Abstract: Systems, computer program products, and methods are described herein for automated regression testing. The present invention is configured to generate, using a regression testing engine, a second state instance map for a second version of an application; generate, using the regression testing engine, a first state instance map for a first version of the application; initiate a differential detection engine on the first state instance map and the second state instance map; determine, using the differential detection engine, one or more differential features in the second version of the application; initiate a machine learning model on the one or more differential features in the second version of the application; and classify, using the machine learning model, the one or more differential features into one or more classes.

Abstract: Embodiments of the present invention provide systems and methods for using machine learning to analyze and infer the contextual significance of a conversational language in order to proactively engage with one or more users in a familiar manner via a virtual voice assistant. As such, the systems and methods reduce redundancy of process steps for the user in accessing relevant information or initiating certain resource activities via disparate channels of communication by creating a continuity of conversational tone and substance.

Abstract: Methods and systems for enabling multi-merchant coupon campaigns within an online publication system are described. In an example, a method can include generating an item listing, receiving information specifying a set of coupon criteria, detecting an event within a multi-merchant publication system, and present a coupon in response to detecting the event. The generating an item listing can be based on information received from a merchant-computer. If the set of coupon criteria is detected it can result in presenting a coupon for the item listing. The event can satisfy a particular coupon criteria from the set of coupon criteria.

Abstract: Contactless dispensing of objects from object-dispensing machines. A digital token is wirelessly communicated to the machine via short-range wireless communication, such as Near Field Communication (NFC) or the like. In response, a push notification is communicated to the user's wireless device, which includes an activatable link for launching a mobile application. In response to launching the mobile application and authenticating the user, the mobile application provides object-dispensing machine-like user interfaces that are configured to allow the user to input object requesting parameters and submit a request for objects to be dispensed from the object-dispensing machine. The request is communicated to the object-dispensing machines (or corresponding backend processing systems) and, once the request is verified, the object-dispensing machine dispenses the requested objects.

Abstract: A crash test simulator device for re-creating a software crash scenario within a virtual environment using artificial intelligence processes to consider a large group of variables that may be relevant to the crash incident. The crash test simulator device includes a production environment monitoring engine configured to monitor a user's interaction with an application implemented within a production environment, and generate information used to re-create a crash incident within a virtual environment.