Software developers working in the field of artificial intelligence (AI) attempt to model human characteristics such as decision-making. When machine learning (ML) is utilized, an application has the potential to become increasingly intelligent over time.

The concept of artificial intelligence (AI) refers to the practice of trying to replicate human cognitive abilities in machinery, specifically computers. There are many different implementations of artificial intelligence, some of which include expert systems, speech recognition, natural language processing, and machine vision.

Applications that use AI and ML typically process a large amount of data using complex algorithms; therefore, developers working in this field are generally data scientists.


4 main types of artificial intelligence

  1. Machines that are reactive. AI systems that are task specific and have no memory are known as reactive machines. This type of machine always provides the same output in response to the same input.
  2. Memory constraints. The next stage in the development of AI is the restricted memory variety.
  3. The concept of consciousness.
  4. Self-awareness.

According to findings from a study conducted by IDC, the global revenue produced by AI-related applications, hardware, and services is expected to surpass $383 billion in 2021, representing an increase of nearly 21% compared to 2020.

Approximately 65 percent of the revenue generated by AI-enhanced applications originated from sales of customer relationship management software and organizational resource management software.


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