Abstract: Systems, apparatuses, methods, and computer program products are disclosed for mitigating deterioration of modeling system performance. An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes determining, by context analysis circuitry and in response to detecting the occurrence of the triggering condition, a destination modeling solution based on a regime strategy for the modeling system. The example method also includes switching, by regime deployment circuitry and based on the regime strategy, from a source modeling solution to a destination modeling solution.

Abstract: An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes scheduling, by context analysis circuitry and based on the occurrence of the triggering condition, retraining of a model. The example method also includes generating, by data grafting circuitry and in response to scheduling the retraining of the model, a context-relevant training data set based on a target context vector. The example method also includes retraining, by model training circuitry, the model using the context-relevant training data set to mitigate deterioration of performance of the model.

Abstract: An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes scheduling, by context analysis circuitry and based on the occurrence of the triggering condition, retraining of a model. The example method also includes generating, by data grafting circuitry and in response to scheduling the retraining of the model, a context-relevant training data set based on a target context vector. The example method also includes retraining, by model training circuitry, the model using the context-relevant training data set to mitigate deterioration of performance of the model.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for mitigating deterioration of modeling system performance. An example method includes detecting, by context analysis circuitry, occurrence of a triggering condition. The example method also includes determining, by context analysis circuitry and in response to detecting the occurrence of the triggering condition, a destination modeling solution based on a regime strategy for the modeling system. The example method also includes switching, by regime deployment circuitry and based on the regime strategy, from a source modeling solution to a destination modeling solution.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for measuring employee engagement. An example method includes receiving, by communications circuitry, an exogenous event report and identifying, by a frequency modulator and based on the exogenous event report, a frequency at which to deliver an employee survey to an employee. The example method further includes causing, by an engagement engine, delivery of the employee survey to the employee based on the identified frequency and receiving, by communications circuitry, a response to the employee survey. The example method further includes storing the received response in a memory as a measure of employee engagement.

Abstract: Embodiments are disclosed for performing a reconfiguration of a network-connected device based on the detection and mapping of unauthorized network access events at a location nearby or otherwise relevant to the network-connected device. An example method includes receiving location information associated with fraudulent network activity and receiving real-time and/or near-real-time data associated with such activity. The example method further includes responsively mapping a bounded geographic region within which network-connected devices may be at increased susceptibility for unauthorized activity and providing reconfiguration instructions to network-connected devices within that bounded geographic region.

Abstract: Methods, apparatuses, and computer program products are disclosed for securely delivering digital content to a user. An example method includes receiving a request for digital content for presentation by a first user device associated with a first user profile and receiving contextual device data of the first user device. The example method further include comparing the contextual device data of the first user device and a secure context dataset to determine a device delivery context of the first user device. In instances in which the contextual device data of the first user device fails to satisfy one or more security thresholds defined by the secure context dataset, the method determines an unsecure delivery context and generates secured digital content. The example method further includes causing presentation of the secured digital content via a second user device associated with the first user profile.

Abstract: Methods, apparatuses, and computer program products are disclosed for securely delivering digital content to a user. An example method includes receiving a request for digital content for presentation by a first user device associated with a first user profile and receiving contextual device data of the first user device. The example method further include comparing the contextual device data of the first user device and a secure context dataset to determine a device delivery context of the first user device. In instances in which the contextual device data of the first user device fails to satisfy one or more security thresholds defined by the secure context dataset, the method determines an unsecure delivery context and generates secured digital content. The example method further includes causing presentation of the secured digital content via a second user device associated with the first user profile.

Abstract: Methods, apparatuses, and computer program products are disclosed for securely delivering digital content to a user. An example method includes receiving a request for digital content for presentation by a first user device associated with a first user profile and receiving contextual device data of the first user device. The example method further include comparing the contextual device data of the first user device and a secure context dataset to determine a device delivery context of the first user device. In instances in which the contextual device data of the first user device fails to satisfy one or more security thresholds defined by the secure context dataset, the method determines an unsecure delivery context and generates secured digital content. The example method further includes causing presentation of the secured digital content via a second user device associated with the first user profile.