Abstract: As described herein, a system, method, and computer program are provided for anomaly detection in time-series data with mixed seasonality. In use, time-series data of a mixed seasonality type is received. Additionally, the time-series data is segmented, by a defined unit of time, to form a plurality of time-series data segments. Further, the plurality of time-series data segments are processed to determine one or more patterns across the plurality of time-series data segments. Still yet, the one or more patterns are stored and used to perform pattern matching for an input time-series.

Abstract: As described herein, a system, method, and computer program are provided for using shared customer data and artificial intelligence to predict customer classifications. A first system of a first business entity receives an artificial intelligence model generated using output of a secure multi-party computation applied to: a first schema of first customer data stored by the first system, and a second schema of second customer data stored by a second system of a second business entity. Additionally, the first system executes the artificial intelligence model on the first customer data stored by the first system to generate a predictor, the predictor configured to receive input and process the input to predict a classification for the input. Further, the first system distributes the predictor for use by the second system of the second business entity to predict at least one classification for the second customer data.

Abstract: A system, method, and computer program product are provided for offering experience-based subscriptions to services. In use, a service package is created for a network service provider, the service package relating to a service experience specific at least to a subset of content accessible over a communication network via the network service provider. Additionally, a user subscription to the service package is received. Further, access to the subset of the content is provided based on the user subscription.

Abstract: As described herein, a system, method, and computer program are provided for using artificial intelligence for online charging. A request for use of a network service by an entity is identified. Account allowances/balances to which the requested use of the network service can be charged are determined. Insights generated by an artificial intelligence system are accessed, where the insights predict future use of the network service (e.g. that will be charged to each account allowance/balance). A quota size to be requested in association with a select account allowance/balance is determined, based on the request for the use of the network service and the insights. A reservation request to reserve the quota size from the select account allowance/balance is generated. The use of the network service is authorized, when the quota size is reserved from the select account allowance/balance for the use of the network service.

Abstract: As described herein, a machine learning system, method, and computer program provide marketing segmentation of residential spaces. In use, network usage data is collected from each residential network router of a plurality of residential network routers operating in a different residential space of a plurality of residential spaces. Additionally, the network usage data is processed by a machine learning algorithm to segment the plurality of residential spaces into a plurality of segments. Further, the plurality of segments are output.

Abstract: A system, method, and computer program product are provided for a determining a network situation in a communication network. In use, at least one threshold value of at least one operational parameter of a communication network is obtained, the at least one operational parameter representing at least one operational status of at least one of a computational device or a communication device. Additionally, log data of the communication network is obtained, the log data containing at least one value of the at least one operational parameter reported by at least one network entity of the communication network. The at least one value of the at least one operational parameter of the log data is compared with a corresponding threshold value of the at least one threshold value to form a detection of a network situation.

Abstract: As described herein, a system, method, and computer program are provided for normalizing a JSON structure. In use, input defining at least one entity type of a target data structure is received. A source JSON structure is identified. The source JSON structure is traversed for a particular JSON data type to map values in the source JSON structure to corresponding entities of the target data structure based on the at least one entity type defined for the target data structure, where each entity of the target data structure is defined using a relative path between nodes of the source JSON structure.

Abstract: As described herein, an automated call distribution system, method, and computer program are provided that use multi-skill based routing. An opportunity to make customer service-related contact with a customer is detected. A plurality of skills required to handle the customer service-related contact is determined, where each required skill is defined as a skill type and one or more corresponding skill values. A plurality of skills of each customer service agent among one or more available customer service agents is determined. The customer service-related contact is managed based on the plurality of skills required to handle the customer service-related contact and the plurality of skills of each customer service agent among the one or more available customer service agents.

Abstract: As described herein, a system, method, and computer program are provided for generating a network slice experience index for evaluating a network slice. In use, a guaranteed quality of experience (QoE) is determined for a slice of a network. For at least one point in time, an actual QoE of the network overall is measured. A slice experience index is generated based on a delta between the guaranteed QoE and the actual QoE. The slice of the network is evaluated using the slice experience index.

Abstract: As described herein, a system, method, and computer program are provided for establishing an application interface in an echo system. In use, a plurality of end points in a plurality of applications installed on an echo system are identified. Each end point of the plurality of end points is analyzed to generate a classification for the end point according to one or more parameters. An interface is created between a pair of end points of the plurality of end points, based on the classification generated for each end point in the pair of end points. The interface is established in the echo system for enabling communication between the pair of end points.

Abstract: As described herein, a system, method, and computer program are provided for blockchain-based entity group management. An instance of a blockchain is maintained for each entity group of a plurality of defined entity groups. Further, the instance of the blockchain maintained for each entity group of the plurality of defined entity groups is utilized to manage group membership for the entity group, and control access by members of the entity group to a plurality of services having functionality configured for the plurality of defined entity groups.

Abstract: As described herein, a system, method, and computer program are provided for using moving network connected vehicles to deliver high level network connectivity. In use, a request for digital content to be provided to a requesting device is received, the requesting device being a residential network router or a mobile device of a user. Additionally, responsive to the request, one or more moving network connected vehicles available to obtain the digital content when moving in a vicinity of a network and to provide the digital content to the requesting device when moving in a vicinity of the requesting device are determined. Further, the one or more moving network connected vehicles are caused to obtain the digital content when moving in the vicinity of the network and to provide the digital content to the requesting device when moving in the vicinity of the requesting device.

Abstract: As described herein, a machine learning system, method, and computer program are provided for inferring user presence in a residential space. In use, network usage data is collected from a residential network router operating in a residential space. Additionally, the network usage data is processed by a machine learning algorithm to infer whether a user is present in the residential space. Further, the inference is output for performing one or more related actions.

Abstract: As described herein, a collaborative filtering system, method, and computer program provide a model used to calculate ranked predictions for subscribers. In use, data is received which correlates subscribers of a service provider with offers provided to the subscribers by the service provider, wherein each correlation is associated in the data with an indication of whether the offer was accepted by the subscriber. From the data, a plurality of unique correlations between subscribers and offers are determined. An implicit ranking is calculated for each unique correlation, based on the associated indication of acceptance for correlations matching the unique correlation. Input data is generated that includes each unique correlation with the implicit ranking calculated for the unique correlation. The input data is processed utilizing a collaborative filtering algorithm to generate a model configured to provide predicted implicit rankings for new correlations between subscribers and offers.

Abstract: As described herein, a system, method, and computer program are provided for orchestrating re-provisioning of network subscriber dedicated network slices. A request is received from an entity for use of a network. Network slice information indicating a plurality of slices of the network dedicated to a plurality of network subscribers is accessed. Provisioning of one of more slices of the plurality of slices to the entity is orchestrated, according to the request.

Abstract: As described herein, a system, method, and computer program are provided for evaluating third party AI models. A request is received from an interested party to evaluate an AI model created by a third party, where the request includes a portion of private data of the interested party, and an expected output of the AI model when applied to the portion of private data of the interested party. The AI model created by the third party is received. The AI model is evaluated by: causing the AI model to process the portion of private data of the interested party, accessing an actual output of the AI model resulting from the processing, and comparing the actual output with the expected output to generate an evaluation of the AI model. The evaluation of the AI model is then reported to the interested party.

Abstract: As described herein, a system, method, and computer program are provided for preventing user mistakes when making database changes. In use, a user command to modify a database is received. The user command is validated against a plurality of predefined business rules. One or more actions are conditionally performed before executing the user command, based on a result of the validating.

Abstract: A system, method, and computer program are provided for combining results of event processing received from a plurality of virtual processes or servers. In use, an event is sent to a plurality of virtual processes or virtual servers. Further, a result of processing of the event is received from each of the virtual processes or virtual servers. In addition, the results received from the plurality of virtual processes or virtual servers are combined.

Abstract: A system, method, and computer program product are provided for centralized consent management. In operation, the consent management system receives user selections from a user indicating which user data is capable of being utilized for analysis by a company. The consent management system stores the user selections of which user data is capable of being utilized for analysis by the company in a consent database. The consent management system generates a consent vector corresponding to the user selections of which user data is capable of being utilized for analysis by the company. Additionally, the consent management system associates the consent vector with a consent vector identification. Further, the consent management system tags incoming data with the consent vector identification to associate a user consent with the incoming data. The consent management system stores and encodes the incoming data.

Abstract: A system, method, and computer program product are provided for parental controls and recommendations based on artificial intelligence. In use, using an artificial intelligence (AI) server, explicit input is received associated with a first presentation of media. Additionally, the AI server is trained based on the explicit input, and using the AI server, implicit filters are created based on the training. Further, using the AI server, the implicit filters are applied to a second presentation of the media.