Implementing dynamically and automatically altering user profile for enhanced performance

Abstract

A computer-implemented method, and a computer system are provided for implementing dynamic and automatic altering a user profile based on machine learning and cognitive analysis to improve user performance. The user profile is dynamically altered based upon live data from multiple external data sources using machine learning and cognitive application programming interfaces (APIs) without explicit input from the user. The altered user profile is automatically stored for the user. The stored user profile is deployed for multiple selected user applications enabling enhanced performance for the user.

1 . A computer-implement method for implementing dynamic and automatic altering a user profile based on machine learning and cognitive analysis in a computer system including a processor and live data monitoring, machine learning and data cognitive analysis control, said computer-implement method comprising:
 said processor using said live data monitoring, machine learning and data cognitive analysis control performs:   monitoring live data from multiple external data sources using machine learning and cognitive analysis without explicit input from the user;   automatically storing said altered user profile for the user; and   automatically deploying said stored user profile for multiple selected user applications enabling enhanced performance for the user.   
     
     
         2 . The method as recited in  claim 1  includes the user granting access permission to predefined external data sources, and said external data sources granted access permissions are dynamically monitored without any further manual input from the user. 
     
     
         3 . The method as recited in  claim 1  wherein monitoring live data includes monitoring system and user metrics. 
     
     
         4 . The method as recited in  claim 3  wherein monitoring system and user metrics includes monitoring at least one of social media, online purchase history, and user applications. 
     
     
         5 . The method as recited in  claim 4  wherein monitoring user applications includes monitoring at least one of user E-mail and a user calendar. 
     
     
         6 . The method as recited in  claim 1  wherein monitoring live data from multiple external data sources using machine learning and cognitive analysis without explicit input from the user includes analyzing real time data via at least one of Watson and other selected cognitive application programming interfaces (APIs). 
     
     
         7 . The method as recited in  claim 6  wherein analyzing real time data via other selected cognitive application programming interfaces (APIs) include analyzing real time data via at least one of Alchemy Language, Concept Insights, Dialog, and Visual Insights. 
     
     
         8 . The method as recited in  claim 1  wherein monitoring live data from multiple external data sources using machine learning and cognitive analysis without explicit input from the user includes effectively predicting user preferences by data analysis via cognitive process from said multiple external data sources. 
     
     
         9 . The method as recited in  claim 1  wherein monitoring live data from multiple external data sources using machine learning and cognitive analysis without explicit input from the user includes automatically selecting user profile updates based on identifying user interests and preferences enabling optimal performance. 
     
     
         10 - 20 . (canceled)