Optum Services (ireland) Limited

Amdocs Development Limited

Amdocs Software Systems Limited

Peter John Cogan

Lorcan B MacManus

Paul Andrew Ferguson

Conor Breen

Tomasz Rutowski

Catherine Boothman

Roman Ferrando Llopis

Lu Zheng

Michael Richard Kerrigan

Dong Fang

Leon Malalel

John Thomas Hereford

John Henry Hannon

Rajesh Biddala

Bernard Doherty

Systems, methods, and apparatuses for detecting and identifying anomalous data in an input data set are provided.

Manifold-anomaly detection with axis parallel

Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Database management systems using query-compliant hashing techniques

Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine-learning concepts to determine predicted recovery rates/scores for claims, determine priority scores for the claims, and prioritizing the claims based on the same, and updating a user interface based at least in part on the prioritization of the same.

Machine learning for dynamically updating a user interface

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for generating, training, and utilizing a digital signal processor (DSP) to evaluate graph data that may include irregular grid graph data. An example DSP that may be generated, trained, and used may include a set of hidden layers, wherein each hidden layer of the set of hidden layers comprises a set of heterogeneous kernels (HKs), and wherein each HK of the set of HKs includes a corresponding set of filters selected from the constructed set of filters and associated with one or more initial Laplacian operators and corresponding initial filter parameters.

Method, system, and apparatus for generating and training a digital signal processor for evaluating graph data

Embodiments of the invention provide apparatuses, systems, and methods with the ability to programmatically capture different types of data and to determine whether the data satisfies one or more thresholds indicative of one or more triggering events, and responsive thereto, to automatically initiate a communication between a user and a positive user contact.

Programmatically establishing automated communications between computing entities

Manifold-anomaly detection with axis parallel explanations

A system, method, and computer program product are provided for providing proactive customer care for issues associated with billing or ordering processes. In use, a likelihood that a customer is going to call a call center to address at least one issue associated with at least one of an ordering process or a billing process is predicted. Additionally, it is determined whether the customer is likely to call the call center based on the predicted likelihood that the customer is going to call the call center. Further, the customer is proactively notified before the customer contacts the call center, if it is determined that the customer is likely to call the call center.

System, method, and computer program for providing proactive customer care for issues associated with setting up the billing process as part of the ordering process

An event processing system, method, and computer program product are provided. A plurality of records are stored, including a plurality of events of different event types for a plurality of customers. In use, an indication is received in connection with one or more aspects associated with one or more of the events for one or more of the customers. Based on such indication, one or more subsets of the events of one or more of the records are identified. In some optional embodiments, such one or more event subsets are then processed to reduce noise therein, resulting in fewer events in the one or more event subsets. To this end, a result of the processing may be displayed in a variety of ways for a variety of purposes.

Event processing system, method, and computer program

A system, method, and computer program product are provided for identifying significant records (e.g. journeys, etc.). In use, a plurality of records including a plurality of events are stored. Further, an indication is received regarding at least one subset of the records. Thereafter, at least a portion of the events of the at least one subset of the records are processed to generate mean information such that the records of the at least one subset may be compared, utilizing the mean information. This may be accomplished while avoiding, at least in part, a covariance calculation, or in such a manner that the comparison is independent of such covariance calculation. A result of the comparison may be displayed.

System, method, and computer program for identifying significant records

A system, method, and computer program product are provided for identifying significant attributes of records (e.g. journeys, etc.). A plurality of records are stored, including a plurality of events with a plurality of attributes. Further, the attributes of the events are processed, utilizing machine learning. To this end, at least one of the attributes are identified as being significant, based on the processing. Such identified at least one attribute may then be displayed, etc.

System, method, and computer program for identifying significant attributes of records

An event-based system, method, and computer program product are provided for intervening in connection with a network service. A plurality of measurements are identified that correspond to at least one aspect of a network service. Such measurements are processed and it is determined whether a criterion has been met, based on the processing. One or more events are identified based on the determination whether the criterion has been met. Further, the one or more events are aggregated, and at least one record is produced, based on the aggregation. To this end, an intervention is carried out in connection with the network service, based on the at least one record.

Event-based system, method, and computer program for intervening in a network service

A system, method, and computer program product are provided for identification of common root causes with sequential patterns. In use, a plurality of customer event sequences are identified. Additionally, the plurality of customer event sequences are grouped into a hierarchical framework of patterns. Further, a root-cause analysis (RCA) is performed for the customer event sequences utilizing the hierarchical framework of patterns.

System, method, and computer program for identification of common root causes with sequential patterns

A system, method, and computer program product are provided for detecting and measuring changes in network behavior of communication networks utilizing real-time clustering algorithms. In use, network traffic associated with at least one communication network is received. Additionally, the network traffic is characterized and classified based on similarities in the network traffic utilizing one or more real-time clustering algorithms. Further, changes in network behavior of the at least one communication network are detected and measured utilizing information associated with the classified network traffic.

System, method, and computer program for detecting and measuring changes in network behavior of communication networks utilizing real-time clustering algorithms

Growing community of inventors

Sandyford, Ireland

Peter John Cogan