�Qu� pasa cuando una organizaci�n corre detr�s de la inteligencia artificial sin detenerse a pensar? El algoritmo equivocado es una historia poderosa y profundamente actual que revela que el verdadero desaf�o no est� en la tecnolog�a, sino en las decisiones que tomamos antes de usarla. Entre presi�n, ambici�n, miedo al cambio y deseo de innovar, este libro invita al lector a mirar m�s all� de la automatizaci�n y la Inteligencia Artificial, para descubrir el valor del criterio, la responsabilidad y la visi�n humana. Inspirador, cercano y necesario, es una lectura para quienes creen que innovar no es ir m�s r�pido, sino avanzar con sentido.

El algoritmo equivocado no es un manual t�cnico ni una gu�a paso a paso para implementar Inteligencia Artificial. Es una novela empresarial porque hay cosas que solo se entienden cuando se viven a trav�s de una historia: la presi�n de una junta directiva, el miedo al reemplazo, la ansiedad por mostrar resultados, las tensiones entre �reas, los silencios inc�modos cuando nadie quiere asumir la responsabilidad de una decisi�n automatizada.

A trav�s de esta historia, el lector recorrer� dilemas reales que hoy enfrentan las organizaciones: Cu�ndo automatizar y cu�ndo no, cu�ndo implementar la Inteligencia Artificial, c�mo medir valor m�s all� del ahorro inmediato, por qu� gobernar las decisiones es m�s importante que acelerar la tecnolog�a, y qu� ocurre cuando se confunde innovaci�n con prisa. Este libro merece ser le�do no porque promete atajos ni soluciones m�gicas. Propone algo m�s dif�cil y m�s necesario: pensar antes de implementar la Inteligencia Artificial. Detenerse a ordenar procesos, aclarar responsabilidades, escuchar a las personas y entender que la inteligencia artificial no reemplaza la decisi�n humana, sino que la hace m�s visible.

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