Cognitive engine for multiple internet of things devices

A computer system for managing and optimizing connectivity of a plurality of IoT devices based on cognitive learning, comprising:

• one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• identifying a user, wherein a plurality of user context data is stored in a user profile, wherein a cognitive engine is utilized to learn a plurality of interactions associated with the identified user and at least one preferred IoT device associated with the user based on the stored plurality of user context data;
• detecting a change in at least one current user context associated with the identified user;
• performing a connectivity and management analysis on the detected change in the at least one current user context;
• generating at least one optimal plan for the plurality of IoT devices associated with the identified user based on the performed connectivity and management analysis, wherein the cognitive engine provides at least one recommendation, at least one adjustment or at least one action to the generated optimal plan associated with the identified user;
• performing at least one action based on the generated at least one optimal plan;
• and
• responsive to receiving a user's reaction as an input from a biometric detection device for the at least one action, determining the at least one action met a user's expectation based on the user's reaction from the biometric detection device.

A computer program product for managing and optimizing connectivity of a plurality of IoT devices based on cognitive learning, comprising:

• one or more computer-readable storage media and program instructions stored on at least one of the one or more tangible storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
• identifying a user, wherein a plurality of user context data is stored in a user profile, wherein a cognitive engine is utilized to learn a plurality of interactions associated with the identified user and at least one preferred IoT device associated with the user based on the stored plurality of user context data;
• detecting a change in at least one current user context associated with the identified user;
• performing a connectivity and management analysis on the detected change in the at least one current user context;
• generating at least one optimal plan for the plurality of IoT devices associated with the identified user based on the performed connectivity and management analysis, wherein the cognitive engine provides at least one recommendation, at least one adjustment or at least one action to the generated optimal plan associated with the identified user;
• performing at least one action based on the generated at least one optimal plan;
• and
• responsive to receiving a user's reaction as an input from a biometric detection device for the at least one action, determining the at least one action met a user's expectation based on the user's reaction from the biometric detection device.