Qué necesitas saber antes de
comenzar

Inicio 3 June 2026 23:59

Fin 3 June 2026

00 Días
00 Horas
00 Minutos
00 Segundos
course image

IA para la Toma de Decisiones Estratégicas

Domina el uso de la IA en la toma de decisiones ejecutivas: interpreta las perspectivas de la IA, gestiona los riesgos y lidera el cambio cultural para construir estrategias basadas en datos en los niveles más altos de la organización.
Microsoft via edX

Microsoft

537 Cursos


1 week, 5-10 hours a week

Actualización opcional disponible

Principiante

Avanza a tu propio ritmo

Free Online Course (Audit)

Actualización opcional disponible

Resumen

In an era defined by rapid change and data overload, traditional strategic planning is no longer sufficient. This advanced course, "AI for Strategic Decision Making," bridges the critical gap between artificial intelligence capabilities and executive leadership.

It is designed for senior managers, strategists, and business leaders who need to harness AI not as a technical tool, but as a core component of their strategic arsenal. Participants will move beyond theory to practical application, learning how to:

Identify and Prioritize:

Pinpoint the strategic decisions in your organization most ripe for AI augmentation, from market entry and M&A to innovation portfolios and operational scaling.

Interpret and Translate:

Develop the literacy to interpret AI-driven insights (from predictive models, scenario simulations, and generative AI) and translate them into actionable strategic initiatives. Navigate Risk and Ethics:

Implement robust frameworks to manage the unique risks, ethical considerations, and governance required for deploying AI in high-stakes decision environments.

Foster an AI-Ready Culture:

Lead the organizational shift towards data-informed judgment, breaking down silos between technical teams and the C-suite.

Programa

  • Enmarcar los desafíos empresariales para soluciones de análisis de datos e inteligencia artificial.
  • Seleccionar herramientas de IA relevantes para escenarios estratégicos y decisiones.
  • Interpretar críticamente los resultados de la IA y entender sus limitaciones clave.
  • Combinar efectivamente la inteligencia algorítmica con la experiencia humana y la ética.
  • Gestionar los riesgos de la IA, dilemas éticos y los marcos de gobernanza necesarios.
  • Liderar el cambio organizacional hacia una cultura de estrategia basada en evidencia.

Materias

Business