AIB501:AI Strategies and Roadmaps for Industry-Specific Implementation and Sustainability| ECA- Jan 2025 semester
University | Singapore University of Social Science (SUSS) |
Subject | Introduction to AI |
Section A (100 marks)
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, and providing actionable steps for
governance and data management.
(40 marks)
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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, and demonstrating how AI can support these objectives while
driving measurable outcomes such as increased on-time performance, cost reductions,
or customer satisfaction improvements.
(35 marks)
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, and 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.
(25 marks)
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