AI where humans cannot make decisions - Part 1

I have often been asked for an easy way to identify use cases for AI. Of the many perspectives possible, one is ”use AI where humans cannot make decisions”. Take the example of predicting CSAT. There are so many variables possible: nature of the transaction, time taken to execute the transaction, sentiment of the interaction, time and day when it happened, entities involved, other opportunities that the customer had to get the same need met, etc. As you can see the number of inputs being considered are too many. Each input might have its own weight in making the CSAT decision. It is also possible that customers fall within segments and each segment has different weights for each input. And these segments might not be as easy to assume as by certain geography, maturity, etc. As you can see it is very difficulty, in fact impossible, for a human brain to predict CSAT under such situations. Identify critical decisions and predictions that may have multiple inputs as candidates for AI, and you will be along your journey for practical AI. #abhayPracticalAI #artificialintelligence #machinelearning