AI, Quantum, and Business Strategy

This unit examines how emerging computing paradigms—especially artificial intelligence and quantum technologies—reshape business decision-making, operations, and revenue opportunities while introducing governance, ethical, and reliability challenges. Students investigate real-world applications (e.g., precision agriculture, intelligent transportation), assess risks and constraints (NISQ/post‑NISQ, reliability, information‑energy tradeoffs, malware), and prepare strategies for bias mitigation and commercial adoption that will feed into the capstone planning in Unit 4.

Learning Objectives

• Analyze how AI and quantum computing (NISQ and post‑NISQ) can alter business decision‑making, operational workflows, and competitive advantage by citing at least three concrete industry examples from precision agriculture, intelligent transportation, and digital delegation
• Evaluate ethical and governance implications of deploying opaque or automated technologies and propose at least two measurable strategies to reduce bias, ensure accountability, and support equitable outcomes
• Apply emerging technology concepts to design and justify two viable business opportunities or revenue models, including implementation variables and potential market impacts
• Demonstrate understanding of technical constraints and security/reliability risks (including information‑energy tradeoffs and viral/malware threats) by recommending mitigation, continuity, and validation approaches for business operations