AI where humans cannot make a decision - Part 2

Sometimes decisions are hard coded using business rules. These business rules get complicated over time. As data, entities and environments change, business rules change. Folks who have coded the rules move on and you are left with a hefty business rule and no documentation. Simple fields like “Whom to contact if there is a problem?” might have a business rule with “if” and “else” clauses spanning various scenarios, usage of words (think reg-ex), entities etc. Example: Contact team A if the problem relates to security of type “facility”, and if location is “A” and if the need is related to “accessing building”. Imagine the complex set of conditions that might come into play if you have 10 teams that need to be contacted under different combinations of conditions. It would be very difficult to manage such business rules. An easier way would be to let AI learn from previous data, and predict the correct team that needs to be contacted. Try identifying ML based rules for decisions that rely on complex and difficult to maintain business rules, and you are on your path towards planning practical AI. #abhayPraticalAI #artificialintelligence #machinelearning