You can classify decisions taken at any organization as either analytical or intuitive. Analytical decisions require data and some statistical modeling to be made. Intuitive decisions are normally taken when things are vague, and you just need to be creative when you make these decisions. One of the key applications of AI is decision-making, as it excels in digesting large volumes of data and applying sophisticated modeling to come up with results. In this discussion, you will debate which approach is better when it comes to decision-making (analytical versus intuitive). You will try to find scenarios when one approach will be better than the other. You can also try to find some cases when intuitive decisions will contradict the analytical decisions and describe what you think the best approach should be in these situations

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The debate between analytical and intuitive decisionmaking is an interesting one and both approaches have their merits depending on the context Lets delve into the strengths and weaknesses of each and ... View the full answer