Abstract: The disclosure relates to systems and methods of detecting anomalies using a plurality of machine learning models. Each of the machine learning models may be trained to detect a respective behavior of historical data values for a given metric. Thus, a system may perform anomaly detection based on different behaviors of the same metric of data, reducing instances of false positive anomaly detection while also reducing instances of false negative reporting. The plurality of machine learning models may be trained to detect anomalies across multiple different types of metrics as well, providing robust multi-metric anomaly detection across a range of behaviors of historical data values. The system may implement a pluggable architecture for the plurality of machine learning models in which models may be added or removed from pluggable architecture. In this way, the system may detect anomalies using a configurable set of machine learning models.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for a framework processing for channel contacts data such as interaction data. In this way, the invention receives and processes raw interaction data from one or more deployed micro services. The framework subsequently provides for advanced operational execution not possible by the micro services. The processing of the interaction data includes machine learning predictive analytics framework and business rule application. As such, the system may learn from the data received at the micro servers in real-time and continue to monitor the raw interaction data based on the implemented business rules and machine learning to issue future alerts if necessary. Furthermore, the system may calculate analytics and perform advanced operation executions based on the demands/requests and/or rules. Finally the framework presents data in an interface picture format based on the calculated analytics.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for real-time data structuring and storage. The system is configured for retrieving data associated with the first user interaction in real-time via an established communication link with one or more interaction channels accessible to the first user; transform the data from an unstructured format to a structured format; process the structured data to identify a pattern associated with the first user interaction; compare the pattern to one or more goals associated with the first user; determine one or more actions to be performed by the first user to achieve the goal; and communicate the information associated with the one or more actions to the first user.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for creating channel accessible single function micro services used for light analytics. The micro services are built as small transferable modules to be a single function high efficiency small module. The micro services are generated for a specific single function, then deployed at an interface lever and stored to an associate device at any communication channel associated with an entity. The micro services require specific programming and are generated for a specific data collection process light analytics function. The micro services translate the extracted data into a readable format and transmit, via secure communication network, the translated data to a custom build database for subsequent light analytics framework implementation.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for aggregation and transformation of real-time data. The system is configured for retrieving data associated with the first user interaction in real-time via an established communication link with one or more interaction channels accessible to the first user; processing the data to identify a pattern associated with the first user interaction; identifying an error associated with at least a portion of the data; determining a time stamp and an interaction channel associated with the portion of data identified to be in error; replaying the data associated with the first user interaction; process the portion of data identified to be in error to rectify the error; and storing the transformed portion of data in the database.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for real-time data structuring and storage. The system is configured for retrieving data associated with the first user interaction in real-time via an established communication link with one or more interaction channels accessible to the first user; transform the data from an unstructured format to a structured format; process the structured data to identify a pattern associated with the first user interaction; compare the pattern to one or more goals associated with the first user; determine one or more actions to be performed by the first user to achieve the goal; and communicate the information associated with the one or more actions to the first user.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for a framework processing for channel contacts data such as interaction data. In this way, the invention receives and processes raw interaction data from one or more deployed micro services. The framework subsequently provides for advanced operational execution not possible by the micro services. The processing of the interaction data includes machine learning predictive analytics framework and business rule application. As such, the system may learn from the data received at the micro servers in real-time and continue to monitor the raw interaction data based on the implemented business rules and machine learning to issue future alerts if necessary. Furthermore, the system may calculate analytics and perform advanced operation executions based on the demands/requests and/or rules. Finally the framework presents data in an interface picture format based on the calculated analytics.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for aggregation and transformation of real-time data. The system is configured for retrieving data associated with the first user interaction in real-time via an established communication link with one or more interaction channels accessible to the first user; processing the data to identify a pattern associated with the first user interaction; identifying an error associated with at least a portion of the data; determining a time stamp and an interaction channel associated with the portion of data identified to be in error; replaying the data associated with the first user interaction; process the portion of data identified to be in error to rectify the error; and storing the transformed portion of data in the database.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for creating channel accessible single function micro services used for light analytics. The micro services are built as small transferable modules to be a single function high efficiency small module. The micro services are generated for a specific single function, then deployed at an interface lever and stored to an associate device at any communication channel associated with an entity. The micro services require specific programming and are generated for a specific data collection process light analytics function. The micro services translate the extracted data into a readable format and transmit, via secure communication network, the translated data to a custom build database for subsequent light analytics framework implementation.