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Elaboración de un cuestionario sobre la hoja de ruta para la adopción de la IA

Prueba las fases de la hoja de ruta, cómo las dependencias y las puertas de gobernanza establecen el orden y el papel de marcos como NIST AI RMF e ISO/IEC 42001.

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Pregunta 1 de 8

According to the guide, why do many AI efforts stall?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. According to the guide, why do many AI efforts stall?
    • There are too few possible use cases
    • Pilots never get the data, governance, budget or ownership needed to reach production
    • AI models are too expensive to test
    • Employees refuse to try new tools
  2. Why should a pilot's success criteria be set before it starts?
    • So the vendor can price the pilot
    • So the pilot can skip governance review
    • So staff do not need training
    • So the decision to scale is judged against an agreed baseline rather than chosen afterward
  3. What are the four functions of the NIST AI Risk Management Framework?
    • Gobernar, mapear, medir, gestionar
    • Planificar, construir, probar, implementar
    • Discover, Pilot, Scale, Retire
    • Identify, Protect, Detect, Respond
  4. What is a governance gate in an AI roadmap?
    • A firewall rule that blocks AI websites
    • A budget approval for buying hardware
    • A checkpoint with defined criteria that must be met before a use case moves to the next stage
    • A meeting where vendors pitch products
  5. Why does the manufacturer schedule predictive maintenance after its sensor-data integration project?
    • Predictive maintenance is illegal without integration
    • The model depends on machine data flowing into one place, which the integration provides
    • Integration projects are always cheaper
    • The vendor required that order
  6. What is ISO/IEC 42001?
    • A cybersecurity encryption protocol
    • A law banning certain AI systems
    • A programming standard for neural networks
    • A management system standard for AI
  7. Which trait best describes a good early quick win?
    • Low risk, visible, and possible with data that already exists
    • The most technically ambitious project available
    • A customer-facing system with no human review
    • A project that needs a new data platform first
  8. In a hub-and-spoke AI operating model, what does the central hub usually do?
    • Builds and owns every use case itself
    • Only negotiates software discounts
    • Sets standards, platforms and guardrails while business units build and own use cases
    • Replaces the IT department