Abstract: A contextual lead generation in an automated communication link establishment and management system may store information related to sales calls. The system may identify strengths and weaknesses of a sales representative. The system may provide training content to the sales representative in real time base on the identified strengths and weaknesses.

Abstract: Aspects of the disclosure relate to dynamically generating activity prompts to build and refine machine learning authentication models. A computing platform may process a first set of login events associated with a first user account and may build a first user-specific authentication model for the first user account. Then, the computing platform may process a second set of login events associated with a second user account and may build a second user-specific authentication model for the second user account. The computing platform also may build a population-level authentication model for a plurality of user accounts. Thereafter, the computing platform may identify one or more activity parameters associated with at least one authentication model for refinement. Subsequently, the computing platform may generate and send one or more activity prompts to one or more client computing devices to request at least one user response.

Abstract: An augmented reality system is provided, including a physical apparatus operable to change detectably by a human between a first state and a second state, and an augmented reality application. The physical apparatus includes a signal receiver for receiving a signal, and at least one controllable element operable to effect the change between the first state and the second state upon receiving the signal. The AR application, when executed by at least one processor of a computing device, the computing device having at least one camera and a display, cause the computing device to capture at least one image of the physical apparatus, generate a virtual reality object that is presented in the at least one image on the display, and transmit the signal to the physical apparatus to cause the at least one controllable element of the physical apparatus to switch between the first state and the second state.

Abstract: Aspects of the disclosure relate to processing authentication requests to secured information systems using machine-learned user-account behavior profiles. A computing platform may receive an authentication request corresponding to a request for a user of a client computing device to access one or more secured information resources associated with a user account. The computing platform may capture one or more behavioral parameters and activity data associated with one or more interactions with one or more non-authenticated pages. Then, the computing platform may evaluate the one or more behavioral parameters and the activity data using a behavioral profile associated with the user account. Based on this evaluation, the computing platform may identify the authentication request as malicious and may generate and send one or more denial-of-access commands to prevent the client computing device from accessing the one or more secured information resources associated with the user account.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced pre-authentication techniques. A computing platform may receive, from a local traffic manager, a first enriched access request associated with a first remote computing device. Then, the computing platform may apply a pre-authentication classification model to the first enriched access request associated with the first remote computing device. Thereafter, the computing platform may determine that the first enriched access request associated with the first remote computing device is likely malicious. Then, the computing platform may generate one or more first pre-authentication response commands directing client portal server infrastructure to process the first enriched access request associated with the first remote computing device as a malicious request.

Abstract: Systems for providing secure access to systems are provided. A computing device may receive a request to access functionality which may include login credentials of a user. Upon receiving the request to access functionality, the computing device may execute a scan of an area surrounding the computing device to detect any wearable devices within proximity of the computing device that are linked to the computing device. The authenticating information and, in some examples, detected, linked wearable device, may be validated. Based on the validation, authentication response data may be generated and transmitted to an authentication computing platform which may cause the authentication computing platform to validate the authentication response data and cause the computing device to connect to a client interface computing platform.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using multi-push authentication techniques. A computing platform may receive an event request associated with a group of enrolled devices. The computing platform may load multi-push settings and identify one or more user devices linked to the group of enrolled devices. Then, the computing platform may generate one or more notifications for the one or more user devices, and each notification may be generated for a corresponding user device based on device-specific user account state information. After sending the one or more notifications, the computing platform may generate one or more event execution commands based on prompt response information received from the one or more user devices and may send the one or more event execution commands to an event management computer system, which may execute an event corresponding to the event request.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced biometric authentication techniques. A computing device may receive input requesting to login to a user account associated with a mobile banking application installed on the computing device. The computing device may send, to a client authentication computing platform, a first authentication request and receive, from the client authentication computing platform, one or more authentication prompt commands. The computing device then may present one or more authentication prompts and collect, from one or more linked wearable devices, one or more advanced biometrics. After validating the one or more advanced biometrics, the computing device may send, to the client authentication computing platform, authentication response data. Thereafter, the computing device may receive mobile banking user interface information and present one or more mobile banking user interfaces.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using advanced biometric authentication techniques. A computing device may receive input requesting to login to a user account associated with a mobile banking application installed on the computing device. The computing device may send, to a client authentication computing platform, a first authentication request and receive, from the client authentication computing platform, one or more authentication prompt commands. The computing device then may present one or more authentication prompts and collect, from one or more linked wearable devices, one or more advanced biometrics. After validating the one or more advanced biometrics, the computing device may send, to the client authentication computing platform, authentication response data. Thereafter, the computing device may receive mobile banking user interface information and present one or more mobile banking user interfaces.

Abstract: Aspects of the disclosure relate to processing authentication requests to secured information systems using machine-learned user-account behavior profiles. A computing platform may receive an authentication request corresponding to a request for a user of a client computing device to access one or more secured information resources associated with a user account. The computing platform may capture one or more behavioral parameters and may authenticate the user of the client computing device to the user account based on the one or more behavioral parameters and one or more authentication credentials. The computing platform then may generate and send one or more authentication commands directing an account portal computing platform to allow access to the one or more secured information resources. Subsequently, the computing platform may capture activity data associated with one or more interactions in a client portal session and may update a behavioral profile associated with the user account.

Abstract: Aspects of the disclosure relate to dynamically generating activity prompts to build and refine machine learning authentication models. A computing platform may process a first set of login events associated with a first user account and may build a first user-specific authentication model for the first user account. Then, the computing platform may process a second set of login events associated with a second user account and may build a second user-specific authentication model for the second user account. The computing platform also may build a population-level authentication model for a plurality of user accounts. Thereafter, the computing platform may identify one or more activity parameters associated with at least one authentication model for refinement. Subsequently, the computing platform may generate and send one or more activity prompts to one or more client computing devices to request at least one user response.

Abstract: Aspects of the disclosure relate to utilizing federated user identifiers to enable secure information sharing. A computing platform may receive, from an external application host platform, a federated login request comprising user identification information associated with a user account. Based on receiving the federated login request, the computing platform may send, to a client computing device linked to the user account, a push notification prompting a user of the client computing device to authenticate. Then, the computing platform may authenticate the user of the client computing device to the user account. Based on authenticating the user, the computing platform may generate an orchestration message directing a data hub platform to initiate a validated data transfer with the external application host platform and may send the orchestration message to the data hub platform to initiate a transfer of external information associated with the user of the client computing device.

Abstract: Aspects of the disclosure relate to processing authentication requests to secured information systems based on machine-learned event profiles. A computing platform may receive an authentication request corresponding to a request for a user of a client computing device to access one or more secured information resources associated with a user account in a client portal session. The computing platform may capture one or more behavioral parameters and may generate one or more authentication prompts. Thereafter, the computing platform may receive one or more authentication prompt responses and may evaluate an event pattern. Based on evaluating the event pattern and validating the one or more authentication prompt responses, the computing platform may generate and send one or more authentication commands directing an account portal computing platform to allow access to the one or more secured information resources associated with the user account in the client portal session.

Abstract: Aspects of the disclosure relate to processing authentication requests to secured information systems using machine-learned user-account behavior profiles. A computing platform may receive an authentication request corresponding to a request for a user of a client computing device to access one or more secured information resources associated with a user account. The computing platform may capture one or more behavioral parameters and activity data associated with one or more interactions with one or more non-authenticated pages. Then, the computing platform may evaluate the one or more behavioral parameters and the activity data using a behavioral profile associated with the user account. Based on this evaluation, the computing platform may identify the authentication request as malicious and may generate and send one or more denial-of-access commands to prevent the client computing device from accessing the one or more secured information resources associated with the user account.

Abstract: Aspects of the disclosure relate to processing authentication requests to secured information systems based on machine-learned user behavior profiles. A computing platform may receive an authentication request corresponding to a request for a user of a client computing device to access one or more secured information resources associated with a user account. The computing platform may capture behavioral parameters associated with the client computing device and may evaluate the behavioral parameters using a behavioral profile associated with the user account to determine a behavioral deviation score. Based on the behavioral deviation score, the computing platform may select an authentication action from a plurality of pre-defined authentication actions. Subsequently, the computing platform may generate commands directing an account portal computing platform to allow access, conditionally allow access, or prevent access based on the selected authentication action.

Abstract: Embodiments herein describe a robotic pick and stow storage system with a built-in consolidation function that increases the storage density. The system can include a stowing robot, a consolidation robot, and individual containers. The stowing robot may pick an item, identify a free space in the container large enough for the item, and then place the item in the free space. The items placed in the container may have a space between it and a neighboring item or items (referred to herein as a stow buffer) due to uncertainties or inaccuracies in the stowing process. The embodiments herein describe a stow and consolidation action that reduces the stow buffers thereby providing additional space in the container for more items. The consolidation robot can tilt and vibrate the container such that the items move closer together thereby generating free space for additional items in the container.

Abstract: A contextual lead generation in an automated communication link establishment and management system may store information related to sales calls. The system may identify strengths and weaknesses of a sales representative. The system may provide training content to the sales representative in real time base on the identified strengths and weaknesses.

Abstract: Disclosed is a mobile pavement surface scanning system for detecting pavement distress. In an embodiment the system comprises one or more light sources mounted on the mobile vehicle for illuminating a pavement, one or more stereoscopic image capturing devices mounted on the vehicle for capturing sequential images of an illuminated pavement surface, and a plurality of positioning sensors mounted on the mobile vehicle, the positioning sensors adapted to encode movement of the mobile vehicle and provide a synchronization signal for the sequential images captured by the one or more stereoscopic image capture devices.

Abstract: Aspects of the disclosure relate to preventing unauthorized access to secured information systems using multi-push authentication techniques. A computing platform may receive an event request associated with a group of enrolled devices. The computing platform may load multi-push settings and identify one or more user devices linked to the group of enrolled devices. Then, the computing platform may generate one or more notifications for the one or more user devices, and each notification may be generated for a corresponding user device based on device-specific user account state information. After sending the one or more notifications, the computing platform may generate one or more event execution commands based on prompt response information received from the one or more user devices and may send the one or more event execution commands to an event management computer system, which may execute an event corresponding to the event request.

Abstract: A contextual lead generation in an automated communication link establishment and management system may store information related to sales calls. The system may identify strengths and weaknesses of a sales representative. The system may provide training content to the sales representative in real time base on the identified strengths and weaknesses.