AI Strategy and Planning CRAGE Practice Questions (Page 8)

Questions 36–40

1. 36application · medium

   A manufacturing company is developing an AI-based predictive maintenance system. The operations team wants to reduce downtime, while the data science team wants to use sensor data that the union says is intrusive. The CEO wants a quick rollout. What is the best way to ensure stakeholder buy-in?

   • ALimit communication to the CEO and operations leadership to avoid conflict.
   • BOffer financial incentives to the union to accept the sensor data collection.
   • CProceed with the rollout and address concerns after the system is deployed.
   • DEngage operations, data science, and union representatives in co-designing the AI strategy and addressing concerns.
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2. 37expert · hard

   A manufacturing company has a mature data infrastructure but limited AI skills and a risk-averse culture. The company wants to implement AI for predictive maintenance. The CEO wants to see a return on investment within two years. Which approach best addresses the maturity gaps and the CEO's expectation?

   • AFocus on building a data lake and improving data quality before any AI project is started.
   • BDeploy a commercial predictive maintenance solution without a pilot to save time.
   • CImmediately hire a large data science team to build a comprehensive AI system from scratch.
   • DUse the maturity assessment to identify the skills gap, then invest in targeted training and start with a low-risk pilot that has clear KPIs tied to cost savings.
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4. 38application · medium

   A logistics company wants to adopt AI for route optimization. The company has a strong IT infrastructure but no prior AI experience, and the culture is risk-averse. What should the company do first in its AI strategy?

   • AConduct an AI maturity assessment to understand the organization's readiness, including skills, data, and governance.
   • BImmediately hire a team of data scientists and start building a custom AI model.
   • CPurchase a commercial off-the-shelf AI solution and deploy it without a pilot.
   • DDefine the AI vision and goals first, and then assess maturity after the strategy is approved.
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5. 39foundation · easy

   In AI planning, what does the ethical principle of 'transparency' primarily require?

   • AThat AI systems are open-source
   • BThat AI models are simple enough for anyone to understand
   • CThat the workings and decisions of AI systems are understandable and explainable to relevant stakeholders
   • DThat all AI data is publicly available
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6. 40expert · hard

   A bank has deployed an AI system for credit scoring. The strategic goal is to increase financial inclusion while maintaining profitability. The bank's board wants to see a balance between risk and social impact. Which KPI set best captures this dual objective?

   • ANumber of new customers, market share, and brand recognition.
   • BPercentage of previously underserved applicants approved, default rate, and average profit per loan.
   • CNumber of loans approved, total loan volume, and customer satisfaction score.
   • DModel accuracy, precision, and recall on the test dataset.
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