Abstract: A queue management ultra-wideband (UWB) automated teller machine (ATM) transaction pre-staging systems and methods for use with an ATM server, at least one UWB-enabled wireless portable electronic device, and a plurality of UWB-enabled ATMs are disclosed. Transactions are pre-staged by the UWB-enabled devices with the ATM servers. Queue wait times at each UWB-enabled ATM can be determined based on how many transactions have been scheduled for the ATM, how many customers are currently waiting at the ATM, and what currency resources are required by the pre-staged transactions. Geographical distances between the user and the ATMs can be determined. Based on historical customer ATM usage preferences, the distance to various ATMs, and queue wait times, the ATM server may make recommendations regarding which ATM would be optimal for the customer to use to complete the pre-staged transaction.

Abstract: Aspects of this disclosure relate to systems and methods to determine whether an application is misconfigured or malicious using smart contracts stored on a distributed ledger and a transferred deep learning system. A smart contract is generated and assigned rules for monitoring an application session on a user computing device when an application session associated with the application is initiated. The smart contract denies or grants the application session permission to access user data and shuts down the application session when a malicious indication is detected in configuration data associated with the application based on rules assigned to the smart contract. The malicious indication is output by a deep learning module trained on historical configuration data associated with the application. The deep learning module transfers layers to an enterprise deep learning module on an enterprise platform to determine a misconfiguration indication indicating the configuration data is misconfigured.

Abstract: Arrangements for voice enabled event processing are provided. In some aspects, a self-service kiosk may detect a mobile device of a user and a connection may be established between the self-service kiosk and the mobile device. The user may request, via natural language data input, processing of an event, such as a transaction. The natural language data input may be captured by the mobile device of the user and transmitted to the self-service kiosk or other processing device. The natural language input may be processed to identify the requested event. Based on the processed natural language data, an event processing request may be generated. Based on processing the event, one or more event processing commands may be generated. The event processing commands may be executed to perform one or more functions associated with completion of the event processing (e.g., distributing funds, activating a deposit receptacle, or the like).

Abstract: Timely and optimal user completion of pre-staged transactions is implemented by ultra-wideband (UWB) enabled devices at UWB-enabled ATMs. ATM information, transaction scheduling and user prioritization, transaction notifications, and/or haptic-feedback reminders are provided based on one or more real-time and/or predicted geographical locations and proximities, ATM-specific queue wait times, preference scores, historical usage, ATM resources, and/or other relevant data or preferences.

Abstract: Timely and optimal user completion of pre-staged transactions is implemented by ultra-wideband (UWB) enabled devices at UWB-enabled ATMs. ATM information, transaction scheduling and user prioritization, transaction notifications, and/or haptic-feedback reminders are provided based on one or more real-time and/or predicted geographical locations and proximities, ATM-specific queue wait times, preference scores, historical usage, ATM resources, and/or other relevant data or preferences.

Abstract: A queue management ultra-wideband (UWB) automated teller machine (ATM) transaction pre-staging systems and methods for use with an ATM server, at least one UWB-enabled wireless portable electronic device, and a plurality of UWB-enabled ATMs are disclosed. Transactions are pre-staged by the UWB-enabled devices with the ATM servers. Queue wait times at each UWB-enabled ATM can be determined based on how many transactions have been scheduled for the ATM, how many customers are currently waiting at the ATM, and what currency resources are required by the pre-staged transactions. Geographical distances between the user and the ATMs can be determined. Based on historical customer ATM usage preferences, the distance to various ATMs, and queue wait times, the ATM server may make recommendations regarding which ATM would be optimal for the customer to use to complete the pre-staged transaction.

Abstract: Arrangements for voice enabled event processing are provided. In some aspects, a self-service kiosk may detect a mobile device of a user and a connection may be established between the self-service kiosk and the mobile device. The user may request, via natural language data input, processing of an event, such as a transaction. The natural language data input may be captured by the mobile device of the user and transmitted to the self-service kiosk or other processing device. The natural language input may be processed to identify the requested event. Based on the processed natural language data, an event processing request may be generated. Based on processing the event, one or more event processing commands may be generated. The event processing commands may be executed to perform one or more functions associated with completion of the event processing (e.g., distributing funds, activating a deposit receptacle, or the like).