In business, a lot of work is not done automatically, but requires a certain level of intelligence. Especially in the work scene, the characteristics of wisdom are not simple. Broadly speaking, wisdom refers to the ability to acquire knowledge and apply it to achieve goals; The actions taken are context-specific, not rote-by-one.
Making machines work in this way is often referred to as artificial intelligence. But as the National Science and Technology Council (NSTC) pointed out in an authoritative report released in 2016, there is no unified or simple definition of AI.
Some people broadly define AI as a computer system that exhibits behaviors that are generally thought to require intelligence. Others define AI as a system that can reasonably solve complex problems or take appropriate action to achieve its goals in any real-world situation encountered. The NSTC report states.
In addition, the authors explain that the criterion for what is considered an intelligent machine is an ever-changing goal: once a problem that is considered to require artificial intelligence is solved, it is considered "routine data processing".
At a basic level, AI programming focuses on three cognitive skills – learning, reasoning, and self-correction
The learning aspect of AI programming focuses on taking data and creating rules to turn data into actionable information. These rules, called algorithms, provide step-by-step guidance to a computing system to accomplish a specific task.
The inference aspect involves the ability of an AI to select an algorithm in the most appropriate set of algorithms for a particular situation.
The self-correction aspect focuses on the AI's ability to gradually adjust and improve the results until the desired goal is achieved.