How should companies balance human intuition with machine$-$driven analytics when making business decisions? The article presents three approaches $($descriptive$,$ predictive, and prescriptive$),$ but what are the risks and benefits of relying too heavily on either human judgment or automated systems?

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With the $$Prescriptive Analytics Approach$,$ machines make decisions off the managers$/$users defined goals. How can the user defining goals create errors in the analysis? Why could one argue that the $$Prescriptive Analytics Approach$$ is the best of the three models?$$

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The author mentioned how descriptive and predictive analytics mostly are $$relying only on machines$,$ with managers not putting in the effort and being subjected to the $$same kind of biases$.$ Is this true? Do both produce $$suboptimal results$$ like the author mentioned?

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