International Business Machines Corporation

Neil Sahota

Francis Xavier Reddington

Joseph N Kozhaya

William Anthony Brown

Martin Andrew Wolfe

Sarbajit Kumar Rakshit

John Michael Ganci, Jr

Craig M Trim

Cesar Augusto Rodriguez Bravo

Erich D Walls

Phaedra Boinodiris

Heiner Valverde Vargas

The present invention provides a method, computer program product, and system of performing personality profile automated measurements. In an embodiment, the method, computer program product, and system includes receiving, by a computer system, gaming history data associated with a gamer profile, assigning, by the computer system, the gamer profile to a first cluster of gamers, recording, by the computer system, game play data associated with the gamer profile, and based on the game play data associated with the gamer profile and the gaming history data associated with the gamer profile, reassigning the gamer profile into a second cluster of gamers.

Reassigning gamer clusters based on engagement

Real-time identification and provision of preferred flight parameters is provided by obtaining flight data of aircraft flights and classifying the flight data according to categories, acquiring current flight parameters from devices of an aircraft during an in-process flight, comparing the current flight parameters to the classified flight data and identifying, in real-time during the in-process flight, and based on thresholds in correlations between the current flight parameters and the classified flight data, preferred action(s) to take and preferred flight parameter value(s) for the in-process flight given current conditions of the aircraft and surrounding environment as reflected by the current flight parameters, and providing the preferred flight parameter values to computer system(s) of the aircraft.

Real-time identification and provision of preferred flight parameters

The present invention provides a method, system, and computer program product of real-time cognitive supply chain optimization. In an embodiment, the present invention includes receiving supply chain optimization data describing a supply chain optimization problem, receiving variables of interest data describing variables of interest with respect to the supply chain optimization problem, generating an optimal route for a user based on the supply chain optimization data and the variables of interest data, monitoring route execution data describing execution of the generated optimal route by the user, capturing deviation data from the monitored route execution data, with respect to critical variable data, and executing a set of logical operations analyzing the captured deviation data with respect to the variables of interest data to identify whether at least one change occurred among the variables of interest at the time of at least one deviation from the generated optimal route.

Real-time cognitive supply chain optimization

A method for filtering content of a social network comprising a plurality of users. The method includes the steps of: identifying one or more relationships among the plurality of users of the social network; determining a strength of each of the identified one or more relationships among the plurality of users of the social network; determining, based at least in part on a determined strength, a reputation value for one or more of the plurality of users of the social network; detecting manipulated social media content using at least one of the identified relationships, determined strengths, and reputation values; categorizing the detected manipulated social media content into one or more categories, wherein the categorization is based at least in part on a confidence level of the detected manipulation; and filtering, based at least in part on said categorization, the detected manipulated social media content.

Detection of manipulation of social media content

Aspects of the present invention provide a solution for responding to a change in an environment of a computer system. In an embodiment, a set of triggered controlled event listener learners (T-CELLs) are deployed in the computer system. Each T-CELL of the set of T-CELLs is a self-contained, persistent software construct. Further, each T-CELL has the ability to communicate with the other T-CELLs in the computer system. These T-CELLs can, in response to detecting a change in the computer system, automatically create a new T-CELL to respond to the change.

Triggered controlled event listener learner

Enterprise Intelligence ('EI') management in an EI framework including: analyzing, by an assembly analysis engine, a plurality of EI assemblies, each EI assembly configured to carry out a business capability upon execution; choreographing, by an assembly engine, execution of one or more of the EI assemblies; and reporting, by the assembly engine to an EI administrator, information related to execution of the one or more of the EI assemblies.

Enterprise intelligence ('EI') management in an EI framework

Decomposing a process model in an Enterprise Intelligence ('EI') framework, including: receiving, by a process model decomposer, a process model for an EI assembly; identifying, by the process model decomposer in dependence upon an EI framework metamodel, component parts of the process model; and generating, in dependence upon the identified component parts, a taxonomy breakdown comprising a definition of a process classification.

Decomposing a process model in an enterprise intelligence ('EI') framework

Managing processes in an Enterprise Intelligence ('EI') assembly of an EI framework, including: for each executing EI assembly in the EI framework, in real time: tracking, by the process state transition manager, the present state of processes of each executing EI assembly; analyzing, by the process state transition manager, the present state; and storing, by the process state transition manager, results of the state analysis.

Managing processes in an enterprise intelligence ('EI') assembly of an EI framework

Enterprise Intelligence ('EI') reporting in an EI framework, including: identifying, by an EI report generator, EI report criteria for inclusion in an EI report; extracting, by an EI report generator, EI report information that meets the EI report criteria from an EI data repository; assembling, by an EI report generator, the EI report information into an EI report; and presenting the EI report to an EI administrator.

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Costa Mesa, CA, United States of America

Neil Sahota