AIB501 Introduction to AI End Course Assessment | SUSS

Section A 

Answer all questions in this section.

Question 1

Construct and design a detailed and comprehensive AI implementation strategy tailored for a software company specializing in serving the renovation, construction, maintenance, and design needs of the retail stores and outlets industry. Focus on aligning the strategy with the company’s business goals, establishing a robust data strategy and infrastructure, integrating responsible AI practices specific to this niche, and designing an effective AI governance framework. Ensure the response includes clear explanations of how each component supports the overall strategy, such as:

• Defining business objectives in this industry.
• Demonstrating how AI can enhance operational efficiency and innovation.
• Outlining specific principles of responsible AI for retail and design-focused applications.
• Providing actionable steps for governance and data management.

Question 2 

Create a detailed roadmap for scaling AI initiatives within an airline organization, detailing how to build organizational capabilities and manage talent, select and prioritize AI projects, implement and integrate AI solutions effectively, and measure performance to realize value. Ensure the response includes specific and actionable steps for each component, such as:

• Defining principles tailored to the airline industry.
• Identifying business objectives like improving operational efficiency or enhancing customer experience.
• Demonstrating how AI can support these objectives while driving measurable outcomes such as increased on-time performance, cost reductions, or customer satisfaction improvements.

Question 3 

Formulate a comprehensive strategy to ensure the long-term sustainability and ethical use of AI within a digital banking organization, focusing on implementing sustainable AI development practices, establishing an ethical AI framework and governance structure, and fostering stakeholder engagement and transparency. Clearly outline how each component contributes to the overall strategy, including:

• Defining key principles tailored to digital banking.
• Detailing actionable steps such as enhancing data security and fairness in credit decisions.
• Explaining how these efforts align with organizational objectives to support the responsible and effective use of AI in areas like fraud detection, personalized banking, and customer experience optimization.