Wells Fargo Bank, N.a.

Christopher Shain

Adam M Sanders

David L Frost

Jacob Anson Burkey

A system and related method are provided for dynamically modifying a rule-based matching system. A processor receives a source data entity, and then locates a matching data entity by a search based on the source data entity and a rule set. A rater assessment is provided by a rater that utilizes at least one factor that is independent of the rule set and comprises a degree of matching between the source and matching data entity. A revised rule set is dynamically created based on an output of the analyzer, which in turn is based on the source data entity, the matching data entity, the rater assessment, and the rule set. Once this is complete, a second matching data entity is located by searching for the second matching data entity based on the source data entity and the revised rule set.

Machine learning integration for a dynamically scaling matching and prioritization engine

A system and related method dynamically modify a rule-based matching system. The process comprises receiving a rule set and a source data entity (SDE), and locating a plurality of matching data entities (MDEs) by searching a data node. The process further comprises, (a) determining a best MDE from the plurality of MDEs based on an MDE score created using the rule set, (b) receiving, a binary rater assessment rating that utilizes a factor that is independent of the rule set, the rater assessment comprising a binary degree of matching, (c) when the received binary rater assessment is yes, then designating the best MDE as an accepted MDE and updating information associated with the SDE, (d) when the received binary rater assessment is no, then eliminating the best MDE from the plurality of MDEs and repeating operations (a)-(d). The rule set is revised to dynamically produce a revised rule set.

Optimizing database query processes with supervised independent autonomy through a dynamically scaling matching and priority engine

A system and related method are provided for dynamically modifying a rule-based matching system, A processor receives a source data entity, and then locates a matching data entity by a search based on the source data entity and a rule set. A rater assessment is provided by a rater that utilizes at least one factor that is independent of the rule set and comprises a degree of matching between the source and matching data entity. A revised rule set is dynamically created based on an output of the analyzer, which in turn is based on the source data entity, the matching data entity, the rater assessment, and the rule set. Once this is complete, a second matching data entity is located by searching for the second matching data entity based on the source data entity and the revised rule set.

A system and related method are provided for dynamically modifying a rule-based matching system. The method comprises using a processor for receiving a plurality of rules that are stored in a matching metadata database in a storage device, and receiving a plurality of entities as inputs. The method further comprises determining a degree of matching between a first entity and a second entity of the plurality of entities, using at least two of the plurality of rules that contribute to the degree of matching. The method then outputs the determined degree of matching to a display device, and dynamically modifies, at run-time, at least one of the plurality of rules.

System and method for dynamic scaling and modification of a rule-based matching and prioritization engine

Systems and techniques for dynamic optimization of application workflows are described herein. A first shared program object may be identified that provides access to a feature a in a mesh network of program objects. It may be determined that a first communication channel to the first shared program object is unavailable. A second shared program object may be identified that provides access to the feature in the mesh network. A second communication channel may be established to the second shared program object. A request may be transmitted to the second shared program object for access to the feature.

Dynamic optimization of application workflows

Systems and techniques for dynamic optimization of application workflows are described herein. A shared program object may be generated. The shared program object may have a unique identifier. A communication channel may be established. The communication channel may allow access to the shared program object by a first application program using the unique identifier. A subscription request may be received from the first application. The subscription request may request access to the shared program object. A set of services corresponding to the first application may be determined in response to receiving the subscription request. Communication may be facilitated between a service of the set of services corresponding to the first application and a second application via the shared program object. The second application may be subscribed to the shared program object.

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Charlotte, NC, United States of America

Christopher Shain