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AI business school for manufacturing Microsoft Quiz Answers

Get AI business school for manufacturing Microsoft Quiz Answers

In manufacturing, decision-makers must take into account specific industry considerations before they can realize the true transformational power of AI in the enterprise. This learning path is designed for manufacturing industry decision-makers to illustrate the true transformational impact of AI in the enterprise.

Prerequisites:

None

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Module 2: Define an AI strategy to create business value in manufacturing

In manufacturing, decision-makers must take into account specific industry considerations before they can realize the true transformational power of AI in the enterprise. To create real business value, a comprehensive understanding of all the strategic components is required.

Learning objectives:

In this module, you will:

  • Describe manufacturing industry outcomes achieved through the adoption of AI.
  • Articulate the components of an AI strategy.
  • Apply the value creation framework.

Prerequisites:

None

This module is part of these learning paths:

Quiz 1: Knowledge Check

Q1. A manufacturing company with a history of large capital expenditures is considering implementing AI digital learning applications. Which criteria should be considered to determine which applications they should start with?

  • Those that cut costs the most.
  • Those that can replicate the most complex tasks.
  • Those that don’t rely on real-time data.
  • Those that create the most value.

Q2. How is AI impacting human employees in the manufacturing sector?

  • Workers are augmented with greater knowledge and actionable insights to grow and develop.
  • Workers are learning technology skills that allow them to pursue more meaningful work in other industries.
  • Workers are more productive after emulating the efficient work processes perfected by machine learning
  • Supervisory roles are no longer necessary as AI sensors and analytics oversee the work processes.

Q3. A car manufacturer wants to better utilize their AI solution by integrating “transfer learning” practices. What does this entail?

  • Use IoT to enhance automated optical inspection processes.
  • Retraining existing models to address similar problems already solved.
  • Transition aspects of manual employee work to automation.
  • Analyze customer behavior to learn and better understand demand cycles.
Conclusion:

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This Problem is intended for audiences of all experiences who are interested in learning about Data Science in a business context; there are no prerequisites.

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