EENI Global Business School

Introduction to AI in Global Business



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Machine Learning (AI). Customer Segmentation Across Borders

Artificial Intelligence (AI) for Global Business (Online Course
Course: AI for Global Business

This subject explores the transformative role of artificial intelligence (AI) in Global Business, focusing on its applications, opportunities, and challenges. It covers how AI technologies enhance efficiency, decision-making, and innovation across industries while addressing ethical, cultural, and regulatory considerations in a global context.

Syllabous

1. What is AI? Overview and evolution

2. AI concepts relevant to International Business

3. Types of AI: ML (Machine learning), NLP (Natural Language Processing), Predictive Analytics, Generative AI

4. Machine Learning

  1. Market Forecasting & Entry Strategies
    1. Case Study: Alibaba – Machine Learning to Power Global E-Commerce & Logistics. How Alibaba uses AI in cross-border e-commerce
    2. Case Study: HSBC – Leveraging Machine Learning for Global Credit Risk and Compliance
    3. Case Study: Coca-Cola – Using Machine Learning for Global Product Innovation
    4. Case Study: TechNova’s AI-Powered Global Market Entry
  2. Customer Segmentation Across Borders
    1. Case Study: Unilever’s AI-Driven Customer Segmentation for Global Brands
  3. Cross-Border Pricing Optimization
    1. Case Study: Zara’s AI-Driven Pricing Optimization Across Global Markets
  4. Global Supply Chain Optimization
    1. Case Study: Maersk’s Machine Learning Strategy for Global Supply Chain Optimization
  5. Predictive Analytics for Global Trade
    1. Case Study: Leveraging Machine Learning for Predictive Analytics in Global Trade
  6. Cultural Preference Analysis
    1. Case Study: Netflix's Machine Learning for Cultural Content Recommendations
  7. Sample Code (Phyton) for Machine Learning. TensorFlow

5. AI’s role in transforming Global Business operations

  1. Case Study: DHL AI Strategy

6. Key AI trends in global trade and commerce

  1. WTO Report: Trading with Intelligence. How AI Shapes and is Shaped by International Trade
  2. Conference on Trade and Development (UNCTAD) Report: Technology and Innovation Report

7. Opportunities and challenges in international markets.

8. McKinsey Global AI Index

9. Tortoise Media Global AI Index

10. Case study:

  1. How Amazon use AI globally
  2. AI’s potential in emerging vs. developed markets

11. “AI Superpowers” by Kai-Fu Lee

Online Student Master in International Business

Relevance: This subject is critical for business leaders, entrepreneurs, and professionals aiming to harness AI to drive innovation, optimize operations, and navigate the complexities of global markets.

Objectives of the subject “Introduction to AI in Global Business":

1. Understand the Fundamentals of AI

  1. Explain core concepts of Artificial Intelligence (AI), including machine learning, natural language processing, and robotics.
  2. Understand the differences between AI, automation, and data analytics.

2. Explore AI Applications in Business

  1. Identify how AI technologies are being applied across different industries (e.g., finance, healthcare, supply chain, marketing).
  2. Analyze real-world case studies showing successful AI implementation in Global Business contexts.

3. Assess Strategic Implications of AI

  1. Evaluate the impact of AI on competitive advantage, innovation, and operational efficiency.
  2. Understand how AI transforms business models, customer experiences, and decision-making.

4. Develop Critical Thinking and Analytical Skills

  1. Critically assess opportunities and risks of AI in business strategy.
  2. Engage in discussions about future trends, ethical dilemmas, and responsible AI practices.

5. Foster Innovation and Leadership

  1. Encourage innovative thinking about how AI can solve business problems or create new value.
  2. Develop leadership awareness of how to guide AI adoption and change management in global organizations.
  3. Faith-Sensitive Business Leadership
  4. Faith-based Marketing

(c) EENI Global Business School (1995-2025)
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