International Business Machines Corporation

Hi5talent LLC

Ram S Narayanan

Martin Oberhofer

Carl Michael Marrelli

Sol Rashidi

Jason K Resch

Ethan S Wozniak

Greg R Dhuse

Andrew D Baptist

Wesley B Leggette

Manish Motwani

Bart Richard Cilfone

Praveen Viraraghavan

Jeffrey T Matteo

Karthikeyan Narayanaswamy

A system and method for management of a talent network are disclosed. The system includes an expert ranking measurement subsystem configured to compute a quantitative score of an expert for a user query based on a talent metric and a trust metric, a qualitative score measurement subsystem configured to compute a qualitative score of the expert based on a content score and an activity score, wherein the content score is computed based on a content provided by the expert and the activity score is computed based on an activity occurring on a profile of the expert, an overall expert rank calculation subsystem configured to calculate an overall rank of the expert, wherein the overall expert rank is calculated based on the quantitative score, the qualitative score, predefined weightages assigned to the connection relationship, the plurality of professional achievements, the content score, the activity score, and user preferences.

System and method for management of a talent network

Methods and systems for storing multiple data versions in a dispersed storage network memory are disclosed. A method includes: receiving, by a computing device, a request to store a current version of a data object in a dispersed storage network (DSN) memory; retrieving, by the computing device, a plurality of other versions of the data object from the DSN memory; for each of the plurality of other versions of the data object, the computing device determining a difference between the current version of the data object and the other version of the data object; and storing, by the computing device, in the DSN memory, the difference between the current version of the data object and a first other version of the data object selected from the plurality of other versions of the data object.

Storing difference between current data version and one of multiple data versions in a dispersed storage network memory

A method for execution by a dispersed storage and task (DST) processing unit includes determining a first optimal slice size requirement is determined for a first independent data element (IDE). The first IDE is split into a first plurality of IDEs based on determining the first IDE compares unfavorably to the first optimal slice size requirement. An error coding function is performed on the first plurality of IDEs to produce a set of encoded slices for each of the first plurality of IDEs for transmission to storage units. A subset of additional IDEs are selected to be merged into a merged IDE based on a second optimal slice size requirement, and continuous content of the subset of additional IDEs is concatenated to produce the merged IDE. The error coding function is performed on the merged IDE to produce a second set of encoded slices for transmission to storage units.

Segmenting and merging data in a dispersed storage network

According to an embodiment of the present invention, a computer-implemented method of cleansing data is provided that comprises determining a criticality score and a complexity score for identified attributes of an enterprise, wherein the criticality score represents a relevance of an attribute to one or more enterprise dimensions and the complexity score represents complexity of cleansing data for an attribute. The identified attributes for data cleansing based on the criticality and complexity scores are prioritized, and data of the identified attributes is cleansed in accordance with priority of the identified attributes. Embodiments further include a system, apparatus and computer readable media to cleanse data in substantially the same manner as described above.

Data cleansing and governance using prioritization schema

Embodiments provide a system and method for integrating a cognitive system into a call center. The system and method include ingesting, through an instant messaging application, one or more original questions from one or more call center agents; ingesting, through the instant messaging application, one or more answers associated with the one or more original questions; receiving, through the instant messaging system, one or more additional questions; determining one or more proposed answers to each additional question based on analysis of the one or more original questions and answers; determining a confidence score for each of the one or more proposed answers; if the confidence score of the proposed answer exceeds a confidence threshold, providing the proposed answer to the call center agent; receiving, through a feedback module, feedback on the proposed answer from one or more subject matter experts or call center managers; and incorporating the feedback on the proposed answer into the analysis of the one or more original questions.

System and method for a cognitive system plug-in answering subject matter expert questions

A system transfers data between source systems and a target system. The system determines a domain score for data domains of source data from the source systems based on data quality metrics for the target system. The domain score indicates data quality with respect to the target system. Corresponding processes of the target system are identified for the data domains, and a process score is determined for the identified processes based on a corresponding domain score. The process score indicates data quality with respect to the identified processes. The system cleanses the source data based on the domain score and/or process score, and validates the cleansed source data against the target system for transference. Embodiments of the present invention further include a method and computer program product for transferring data between source systems and a target system in substantially the same manner described above.

Data quality analysis and cleansing of source data with respect to a target system

Embodiments provide a system and method for integrating a cognitive system into a call center. The system and method include ingesting, in real-time through an instant messaging application, one or more questions from one or more call center agents; ingesting, in real-time through the instant messaging application, one or more answers associated with the one or more questions; storing one or more question and answer pairs in a corpus; analyzing, through a cognitive system, the corpus of the one or more question and answer pairs; receiving, through the instant messaging system, one or more additional questions; determining a proposed answer to each additional question based on the analysis of the corpus; analyzing, through the cognitive system, the proposed answer; and incorporating the analysis of the proposed answer into the analysis of the one or more question and answer pairs. The answers can be provided by subject matter experts or call center managers. The cognitive system can interface with the instant messaging system through the use of a plug-in module, which can use one or more registration commands to facilitate the interface.

A computer-implemented method for processing information related to an extract-transform-load (ETL) data migration, including aggregating operational metadata and determining: a plurality of metrics, organized by business object, corresponding to the migration; a number of business object instances not successfully loaded; a first end-to-end execution time for at least one business object; relevant input metadata; load readiness status per business object; impact of a business object that is not load ready by analyzing business process hierarchies; business object load readiness by reference to incomplete development status or data defects; scope per test cycle based, at least in part, upon business object load readiness; and high-priority defects of business objects that stop testing based, at least in part, upon analysis of business process hierarchies.

Processing data in data migration

In one or more embodiments of the invention, functional data analysts may use a functional data authoring module to capture functional metadata in a consistent manner. Conflict reports for the business processes may be generated for a subset of the business processes or as an overall report across all business processes. One or more embodiments of the invention may provide early detection of data usage and type conflicts from functional data requirements, automated detection of conflicts from functional data requirements, reports listing detected conflicts, conflicts resolution tracking mechanism, ongoing notification regarding changes in functional data requirements or detected conflicts, and avoidance of conflicting functional requirement in the realization phase, thereby reducing costs and project risks and avoiding project delays.

Computing and managing conflicting functional data requirements using ontologies

A computer implemented method, system, and/or computer program product generates technical business data requirements from functional process requirements. Such method, system, and/or computer program product include data processing infrastructure. The data processing infrastructure may further include at least one data persistence component and at least one business process hierarchy. The computer implemented method, system, and/or computer program product obtain a set of technical elements concerning functional process requirements for each business process within the business process hierarchy. Such method, system, and/or computer program product classify technical elements into functional objects, link each of the functional objects to at least one process within the business process hierarchy and generate a plurality of business data roadmap templates in the data processing infrastructure. The generated business data roadmap templates are stored in the persistence component of the data processing infrastructure.

Software tool for generating technical business data requirements

For creating a data governance assessment, a response module receives responses to an automated questionnaire. A scoring module computes a data governance assessment comprising a maturity level describing organizational adoption of data governance, a data governance model describing a data centralization level, and a framework describing a tier of data governance by calculating the maturity level, the data governance model, and the framework from the responses.

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Canton, MI, United States of America

Ram S Narayanan