Pros and Contros of Regular Algorithm vs AI Solution vs Human

Regular algorithms (any data + regular logics) – Best for: Do any logics

• Pros:
  • Simulate any human logic
  • Large base of programmers
• Contros:
  • Very slow optimisation sometimes

AI solutions (statistical data + improvement logic) – Best for: Fast results (already learnt)

• Pros:
  • Fast to compute results after training as all data learnt
  • Solve some specific problems those are hard for regular algorithms, eg. image recognition
• Contros:
  • Smaller base of programmers
  • Won’t solve too complex logics, while regular algorithms may
  • Never to have accuracy of 100% as some regular algorithms may

Humans (any data + any logic) – Best for: Too complex or strategic problems

• Pros:
  • Solve anything
• Contros:
  • Not accurate, costly
  • Slow or impossible to solve large amount of data