Abstract: Aspects of the disclosure relate to generating personalized accent and/or pace of speaking modulation for audio/video streams. In some embodiments, a computing platform may train an artificial intelligence model on audio or video samples associated with different geographic regions. The computing platform may receive, via a communication interface, an audio or video stream associated with a first geographic region. The computing platform may identify a second geographic region different from the first geographic region. The computing platform may transform the audio or video stream to correspond to the second geographic region different from the first geographic region. The computing platform may send, via the communication interface, the transformed audio or video stream to a user device associated with the second geographic region.

Abstract: A data loss prevention device that includes a data loss prevention engine implemented by a processor. The data loss prevention engine is configured to receive data in transit to a target network device and to identify content within the data. The data loss prevention engine is configured to determine the content of the data comprises an image and to determine an image type for the image based on objects within the image, and to determine whether the image type matches a restricted image type from a set of restricted image types. The data loss prevention engine is further configured to block transmission of the data to the target network device in response to determining that the image type matches a restricted image type and forward the data to the target network device in response to determining that the image type does not match a restricted image type.

Abstract: Aspects of the disclosure relate to transforming event data associated with an entity using a multicomputer platform and directing a client computing device to perform a determined action based on a detected event characteristic of the event data and a detected current event. With some embodiments, an event tracking server detects the current event from sensed data provided by a sensed data server and identifies a correlation measure between the detected event characteristic and the detected current event. The event tracking server may direct one or more client computing devices to perform one or more actions related to an entity based on the correlation measure.

Abstract: Systems for dynamically modifying one or more parameters of an event processing device are provided. In some examples, a system may receive data, such as data from a mobile device of a user. The data may include current location information of the mobile device. In some examples, additional data, may also be received. In some examples, one or more machine learning datasets may be used to determine whether a parameter of the event processing device should be modified. If so, an instruction to modify the parameter of the event processing device may be generated and executed. After modifying the parameter, additional data may be received and analyzed to determine whether a triggering event has occurred. If not, the parameter may remain in the modified state. If a triggering event has occurred, the parameter may be further modified.

Abstract: A data loss prevention device that includes a data loss prevention engine implemented by a processor. The data loss prevention engine is configured to receive data in transit to a target network device and to identify content within the data. The data loss prevention engine is configured to determine the content of the data comprises an image and to determine an image type for the image based on objects within the image, and to determine whether the image type matches a restricted image type from a set of restricted image types. The data loss prevention engine is further configured to block transmission of the data to the target network device in response to determining that the image type matches a restricted image type and forward the data to the target network device in response to determining that the image type does not match a restricted image type.

Abstract: A data loss prevention device that includes a data loss prevention engine implemented by a processor. The data loss prevention engine is configured to receive data in transit to a target network device and to identify content within the data. The data loss prevention engine is configured to determine the content of the data comprises an image and to determine an image type for the image based on objects within the image, and to determine whether the image type matches a restricted image type from a set of restricted image types. The data loss prevention engine is further configured to block transmission of the data to the target network device in response to determining that the image type matches a restricted image type and forward the data to the target network device in response to determining that the image type does not match a restricted image type.

Abstract: Aspects of the disclosure relate to transforming event data associated with an entity using a multicomputer platform and directing a client computing device to perform a determined action based on a detected event characteristic of the event data and a detected current event. With some embodiments, an event tracking server detects the current event from sensed data provided by a sensed data server and identifies a correlation measure between the detected event characteristic and the detected current event. The event tracking server may direct one or more client computing devices to perform one or more actions related to an entity based on the correlation measure.

Abstract: A data loss prevention device that includes a data loss prevention engine implemented by a processor. The data loss prevention engine is configured to receive data in transit to a target network device and to identify content within the data. The data loss prevention engine is configured to determine the content of the data comprises an image and to determine an image type for the image based on objects within the image, and to determine whether the image type matches a restricted image type from a set of restricted image types. The data loss prevention engine is further configured to block transmission of the data to the target network device in response to determining that the image type matches a restricted image type and forward the data to the target network device in response to determining that the image type does not match a restricted image type.

Abstract: Aspects of the disclosure relate to transforming event data associated with an entity using a multicomputer platform and directing a client computing device to perform a determined action based on a detected event characteristic of the event data and a detected current event. With some embodiments, an event tracking server detects the current event from sensed data provided by a sensed data server and identifies a correlation measure between the detected event characteristic and the detected current event. The event tracking server may direct one or more client computing devices to perform one or more actions related to an entity based on the correlation measure.

Abstract: Systems for dynamically modifying one or more parameters of an event processing device are provided. In some examples, a system may receive data, such as data from a mobile device of a user. The data may include current location information of the mobile device. In some examples, additional data, may also be received. In some examples, one or more machine learning datasets may be used to determine whether a parameter of the event processing device should be modified. If so, an instruction to modify the parameter of the event processing device may be generated and executed. After modifying the parameter, additional data may be received and analyzed to determine whether a triggering event has occurred. If not, the parameter may remain in the modified state. If a triggering event has occurred, the parameter may be further modified.

Abstract: Aspects of the disclosure relate to transforming event data associated with an entity using a multicomputer platform and directing a client computing device to perform a determined action based on a detected event characteristic of the event data and a detected current event. With some embodiments, an event tracking server detects the current event from sensed data provided by a sensed data server and identifies a correlation measure between the detected event characteristic and the detected current event. The event tracking server may direct one or more client computing devices to perform one or more actions related to an entity based on the correlation measure.

Abstract: A device retrieves content and renders a user-selected portion of the retrieved content in a browser as an active content viewing region. The device scans the active content viewing region to generate a scan, and generates context from the scan of the active content viewing region. A corpus of documents is searched based on the generated context.

Abstract: An approach for simulating a telephony system to enable the evaluation of rules employed by the system for routing inbound calls to representatives is described. A simulation manager receives call production data, representative production data, or a combination thereof as generated by a telephony system during a production run for directing one or more inbound calls to one or more representatives. The simulation manager also generates an expected call handling response of the telephony system during a subsequent production run due to (a) one or more subsequent inbound calls, (b) a change associated with the one or more representatives, (c) a change associated with the call handling rules, or (d) a combination thereof based on execution of a simulation of the execution of the telephony system.

Abstract: A device retrieves content and renders a user-selected portion of the retrieved content in a browser as an active content viewing region. The device scans the active content viewing region to generate a scan, and generates context from the scan of the active content viewing region. A corpus of documents is searched based on the generated context.