BUSI 654 · 9 weeks

Applications ofAI in Business

Understanding how modern intelligent systems create value, change decisions, and require human leadership

Davood Wadi, PhD

Curriculum

01
Course Overview and Foundations
Why business leaders must understand AI.
1. IWhat Is Artificial Intelligence?
2. IIThe Economics of Prediction
3. IIIHow Companies Apply AI
4. IVData and the Machine Learning Pipeline
5. VRisks, Ethics, and Governance
6. VIThe Course Roadmap
02
AI in Marketing and Consumer Behavior
Explores marketing, demand sensing, dynamic personalization, and consumer behavior.
1. ISensing Demand and Consumers
2. IIPersonalization and Commercial Engines
3. IIIMeasurement and Learning
4. IVRelationship Systems and Governance
5. VOrganizational Implications
03
AI in Finance
Covers finance, credit scoring, algorithmic risk management, and fraud prevention.
1. IFoundations
2. IICredit and Lending
3. IIIFraud, AML, and Compliance
4. IVMarkets, Treasury, and Risk
5. VOperations and Client Service
6. VIGovernance and Strategy
New Paradigm
Agentic AI and Vibe Coding
Moving away from manual coding to autonomous agents and orchestration.
In preparation
04
AI in Human Resources
Examines human resources, talent acquisition, workforce planning, and organizational analytics.
1. IFoundations
2. IIRecruiting and Talent Access
3. IIIWorkforce Planning and Organizational Design
4. IVLearning, Development, and Performance
5. VEmployee Listening, DEI, and Compliance
6. VIGovernance and the Strategic Operating Model
05
AI in Operations and Supply Chain
Focuses on operations, logistics, demand forecasting, and supply chain visibility.
1. 1The Modern Supply Chain Context
2. 2Demand Sensing and Forecasting
3. 3Logistics and Network Optimization
4. 4Intelligent Procurement
5. 5Warehouse Automation and Vision
6. 6Sustainability and Circularity
7. 7Risks and Implementation Strategies
06
AI in Business Strategy
Analyzes corporate strategy, competitive advantage, and data moats.
1. 1The Strategic Imperative of AI
2. 2Value Creation and Capture
3. 3Competitive Advantage in the AI Era
4. 4AI Operating Models and Organization
5. 5Strategy Execution and Risk Management
EDII in AI
Equity, Diversity, Inclusion, and Indigeneity in AI systems.
08
Sustainability in AI
Covers sustainability and the environmental footprint of computing.
1. 1The Environmental Footprint
2. 2AI for Climate Mitigation
3. 3The Shift to Green AI
4. 4Circular Economy & Policy
09
AI in Product Development
Examines product development and modern agentic engineering workflows.
1. 1AI-Driven Ideation
2. 2Generative Design & Engineering
3. 3Prototyping & Digital Twins
4. 4DfM & Supply Chain Integration
5. 5Personalization & User-Centricity
6. 6Ethics, Compliance & Standards

© 2026 Davood Wadi.