This is an essential attribute for a machine to possess when it comes to interoperability with Humans and Machine to Machine communications.

This is an ensemble of paradigms that allows a machine/computer to adopt problem solving skills like humans, by acquiring abilities for memory retention, garnering thinking skills and derive a perception based on “learnings” obtained from data modeling techniques.

Typical example can be an IBM Watson like environment. We at IoTfynow have worked on a number of agile and dynamic conversational AI projects, where the system designed has attributes towards reinforcement learning models, and integrated to backend systems like Inventory Planner, Supply Chain, CRM systems etc.