Artificial intelligence (AI) has been around since the 1970’s so it’s not that old of a program. To many it is not a hard concept to understand however it is a difficult task for many computer programmers to grasp the intricate design. I found this improving processes with AI article while searching around on the internet that has to and it describes some of the advantages that there are to utilizing a system. The article also links to a good blog posting that I think would be beneficial to anyone that is interested in AI.

AI is understood by many as the intelligence of machines and the branch of computer science that aims to create it. When it was first created AI had a goal of allowing computers to make decisions with out help from humans. Unfortunately the programmers were unable to figure out how to utilize the data. During these early times AI was primarily used in scheduling systems and through all of the advancements it is still used for this primary reason today.

Companies in the automotive industry have begun to use these agile systems in various processes such as order routing, material flow and production sequencing. These systems generally utilize genetic algorithms to help design their schedules for maximum efficiency. The genetic algorithms take into account numerous constraints that are pre-set by the members of each team that are in charge of scheduling. Once all of the constraints are properly in place the system will channel through thousands of possibilities until it reaches the best possible outcome for that company. I would suggest reading the article linked above for a more in-depth analysis of what genetic algorithms could do for your organization.