Conclusion: The role of the analytical leader

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Recently, Judea Pearl (a pioneer of the probabilistic approach to artificial intelligence) launched a sharp critique of the modus operandi of popular data science, which favors the generation of predictive models as “black boxes,” without delving into the understanding of causal relationships between variables. Can we advance in the understanding of phenomena without understanding the causal relationships between the inputs and outputs of a predictive model?

In addition to the quality attributes sought by the first discipline, the third mental discipline adds the attributes of scientific knowledge: replicability, refutability and the need for empirical evidence.

The key contribution of a leader who knows analytical kung-fu is to generate tunisia consumer email list the necessary discussion based on the principles of critical, statistical and scientific thinking to avoid investing in analytical initiatives that will not deliver results to the business and find those that will, anticipating the objections and needs of users who will be impacted by the new technology. In the grand scheme of things, it is easier to create predictive models than to transform the way organizations operate.