Te puedo dar muchos datos macro y micro que justifiquen porqué estás haciendo el canelo si todavía no has aplicado Inteligencia Artificial en tu empresa. Pero no lo voy hacer.

Hoy mi propósito es otro: explicarte porqué la IA es para ti.

Mira, si piensas que la IA es una tecnología exclusiva sólo para la gente que mea colonia te han engañado. Pero tampoco voy a reflexionar sobre porqué quieren que pensemos que es una tecnología inaccesible. No lo voy hacer.

Hoy mi propósito es otro: explicarte porqué la IA es para ti.

 

Destripemos la gran mentira

¿Cuántos datos crees que necesitas para montar un sistema de IA? La respuesta es depende. Ahora, te adelanto que la mayoría de las empresas no necesitáis grandes volúmenes de datos. El Big Data es otro GRAN engaño.

Te diré, que si tienes un pequeño Excel organizado por columnas y que representan las cosas que ocurren en tu empresa, HOY y AHORA, puedes hacer IA.

Te cuento una historia

Había una vez una próspera empresa llamada "La Fábrica de Sueños". Esta empresa se dedicaba a crear juguetes para niños de todas las edades. 

Su fundador, Juan, siempre se había esforzado mucho en ofrecer productos de alta calidad y variedad. 

El gran desafío de Juan y su equipo, era la de clasificar bien la tipología de juego que producían. Tenían juguetes de todo tipo: educativos, creativos, de entretenimiento, …

Esta clasificación era clave en su negocio dado que su pequeña cuota de mercado estaba constituida por un segmento de clientes que buscaba juegos a medida y muy adaptados a las necesidades cognitivas de cada niño. De ahí la relevancia de categorizar bien.

Juan reflexionó sobre este problema y decidió que era hora de aplicar la inteligencia artificial para ayudar en la clasificación y organización de los juguetes. 

Se puso en contacto con una experta en inteligencia artificial llamada Laura, que estaba emocionada por trabajar en el proyecto.

Juntos, Juan y Laura idearon un plan para desarrollar un sistema de clasificación automática basado en inteligencia artificial. 

Decidieron llamar a este sistema "El Guardián Mágico", que sería capaz de examinar y clasificar los juguetes en diferentes categorías según su temática, edad recomendada y nivel de dificultad.

Para entrenar este sistema, Laura y su equipo recopilaron datos sobre los juguetes y juegos de la empresa. Registraron información detallada sobre cada producto, como su descripción, características y categoría. 

<img alt="Tabla Descripción generada automáticamente" src="data:image/png;base64,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