Abstract: Approaches presented herein enable identification of routine communication content. More specifically, a communication between one or more users is received. Words or phrases in the communication that are contained in a database of words or phrases related to misconduct are identified. The identified words or phrases are removed from the communication to create a set of remaining words. The set of remaining words are analyzed to predict the likelihood of the removed words or phrases appearing in the communication, such that a confidence level of the prediction is determined. In response to the determined confidence level being high, the identified words or phrases in the communication are classified as routine.

Abstract: A computer-implemented system, method and computer program product for preparing alert reports that includes: receiving an override request to override an insight used to prepare the alert reports; determining, determining one or more execution pipelines used to prepare the alert reports that used the insight that is the subject of the override request; determining one or more impacted pipeline runs that were executed to prepare the alert reports that used the insight that is the subject of the override request; updating the one or more execution pipelines used to prepare the alert reports; and generating new alert reports, wherein generating the new alert reports comprises re-running the one or more impacted pipeline runs using the one or more updated execution pipelines wherein the insight that is the subject of the override request is overridden.

Abstract: A computer-implemented system, method and computer program product for preparing alert reports that includes: receiving an override request to override an insight used to prepare the alert reports; determining, determining one or more execution pipelines used to prepare the alert reports that used the insight that is the subject of the override request; determining one or more impacted pipeline runs that were executed to prepare the alert reports that used the insight that is the subject of the override request; updating the one or more execution pipelines used to prepare the alert reports; and generating new alert reports, wherein generating the new alert reports comprises re-running the one or more impacted pipeline runs using the one or more updated execution pipelines wherein the insight that is the subject of the override request is overridden.

Abstract: Approaches presented herein enable identification of routine communication content. More specifically, a communication between one or more users is received. Words or phrases in the communication that are contained in a database of words or phrases related to misconduct are identified. The identified words or phrases are removed from the communication to create a set of remaining words. The set of remaining words are analyzed to predict the likelihood of the removed words or phrases appearing in the communication, such that a confidence level of the prediction is determined. In response to the determined confidence level being high, the identified words or phrases in the communication are classified as routine.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.

Abstract: Embodiments of the present invention provides methods, computer program products, and systems for normalizing confidence score thresholds across systems in a federated environment. Embodiments of the present invention can be used to calculate normalization factors for participating hubs in a federated environment to normalize confidence score thresholds applied by those hubs and improve search results obtained therefrom.