Generative AI: Unlocking Entreprise Value

Objectives

• Understand the realities and myths surrounding generative AI.
• Learn how to select appropriate AI tools and technologies.
• Explore privacy considerations and initial steps in implementing AI.
• Enhance personal productivity using generative AI tools.

Lesson 1: Fundamentals of Generative AI

VIDEO - Hype or Reality? (4 minutes)

• Examine the current state of AI and its position in the hype cycle.
• Discuss key variables affecting AI adoption.
• Introduce generative AI as a transformative tool.

VIDEO - How Generative AI Works: Key Concepts

• Explain generative AI in accessible terms.
• Define tokens, context, and Retrieval-Augmented Generation (RAG).
• Discuss the capabilities of Large Language Models (LLMs).

VIDEO - Generative AI Capabilities and Limitations

• Identify what generative AI excels at and its limitations.
• Explore effective communication with AI tools.
• Highlight areas where models like GPT-3 may underperform.

Learning Activities

• Reading: “The Realities of AI: Separating Fact from Fiction” 
• Interactive Quiz: Assessing Your Understanding of Generative AI Concepts 

Lesson 2: Selecting the Right AI Tools

VIDEO -Criteria for Choosing AI Technologies (5 minutes)

• Discuss variables and constraints in selecting AI tools.
• Align AI tools with specific business needs.

VIDEO - Overview of AI Tools and Technologies

• Provide an overview of current AI tools available in the market.
• Discuss open-source vs. proprietary solutions.

VIDEO - Privacy Considerations in AI Implementation

• Explore privacy concerns related to AI adoption.
• Discuss data protection and regulatory compliance.

Learning Activities

• Reading: “A Guide to AI Tools for Business Leaders” 
• Exercise: Evaluate and Select AI Tools for a Business Scenario 

Lesson 3: Applications and Challenges of Generative AI in Business

VIDEO - Low-Hanging Fruits: Quick Wins with Generative AI

• Identify immediate applications for rapid content creation.
• Explore enhancing customer experience using AI.

VIDEO - Challenges and Risks in Generative AI Adoption

• Discuss common obstacles like hallucinations and biases.
• Address issues of model instability and explainability.

VIDEO - Ethical and Legal Implications

• Examine ethical considerations in AI use.
• Discuss legal responsibilities and compliance.

Learning Activities

• Reading: “The Impact of AI on Employment: Opportunities and Challenges”
• Discussion Forum: Share promising applications of generative AI in your industry

Objectives 

• Understand how generative AI affects the workforce.
• Learn how to legitimize experimentation with AI in organizations.
• Explore strategic choices between automation and augmentation.

Lesson 1: Generative AI’s Impact on the Workforce 

VIDEO - Transforming Job Roles with Generative AI

• Discuss how AI reshapes job responsibilities.
• Explore the concept of ‘yesterwork’—tasks becoming obsolete.

VIDEO - Productivity Increases with AI

• Present data on productivity gains from AI adoption.
• Highlight real-world examples.

VIDEO - Skills Required in an AI-Augmented Workforce

• Identify new skills and competencies needed.
• Emphasize continuous learning and adaptability.

Learning Activities

• Case Study: “AI Adoption in Company XYZ: Workforce Transformation” 
• Discussion Forum: How is AI impacting job roles in your organization? 

Lesson 2: Fostering Experimentation with AI

VIDEO -Building an AI Experimentation Culture

• Strategies to encourage innovation.
• Creating safe environments for testing AI applications.

VIDEO -Overcoming Resistance to AI Adoption

• Addressing fears and misconceptions.
• Change management techniques.

VIDEO -Frameworks for AI Experimentation

• Introduce processes for integrating AI into workflows.
• Discuss pilot programs and iterative development.

Learning Activities

• Exercise: Develop a Plan to Promote AI Experimentation in Your Organization 
• Interactive Quiz: Organizational Dynamics in AI Adoption 

Lesson 3: Strategic Choices—Automation vs. Augmentation

VIDEO - Automation vs. Augmentation: Strategic Implications

• Compare the benefits and drawbacks.
• Aligning strategy with business goals.

VIDEO - Human-in-the-Loop: Balancing AI and Human Expertise

• Importance of human oversight.
• Cases where human judgment is crucial.

VIDEO - Ethical Considerations in Workforce Impact

• Address potential job displacement.
• Discuss fair transition strategies for employees.

Learning Activities

• Group Activity: Analyze a Business Process for Automation or Augmentation 
• Discussion Forum: Should your organization focus on automation or augmentation?

Objectives

• Understand how generative AI affects business models and strategies.
• Learn how to develop and implement a generative AI adoption strategy.
• Explore building sustainable competitive advantages (moats) with AI.
• Learn how to measure the impact and ROI of AI initiatives.

Lesson 1: Impact on Business Models and Strategies

VIDEO - AI-Driven Business Model Innovation (5 minutes)

• Explore new business models enabled by AI.
• Discuss disruption vs. transformation.

VIDEO - Case Studies: Companies Transformed by AI

• Analyze successful AI integrations.
• Lessons learned from industry leaders.

VIDEO - Strategic Alignment of AI Initiatives

• Align AI projects with corporate strategy.
• Setting clear objectives and KPIs.

Learning Activities

• Reading: “Reinventing Business Models with AI” 
• Exercise: Analyze How AI Could Transform Your Company’s Model 

Lesson 2: Developing a Generative AI Adoption Strategy

VIDEO - Key Components of an AI Strategy

• Essential elements for success.
• Importance of vision and governance.

VIDEO - Steps for Implementing Generative AI

• Roadmap from ideation to deployment.
• Resource allocation and timeline.

VIDEO - Change Management and Training

• Preparing the workforce.
• Communication strategies.

Learning Activities

• Reading: “Frameworks for AI Strategy Development” 
• Interactive Exercise: Create an AI Implementation Plan 

Lesson 3: Building Sustainable Competitive Advantage with AI

VIDEO - Understanding Business Moats in the Era of AI

• Define ‘moats’ and their importance.
• How AI can strengthen market position.

VIDEO - Data as a Strategic Asset

• Leveraging data for competitive advantage.
• Data collection, management, and security.

VIDEO - Protecting Your AI Investments

• Intellectual property strategies.
• Dealing with competition and replication.

Learning Activities

• Case Study: “Company ABC’s AI Moat Strategy” 
• Interactive Quiz: Identifying AI-Driven Competitive Advantages 

Lesson 4: Measuring Impact and ROI

VIDEO - Key Metrics for AI Performance

• Identify relevant KPIs.
• Monitoring and evaluation techniques.

VIDEO - Analyzing ROI from AI Projects

• Calculating tangible and intangible benefits.
• Cost-benefit analysis.

VIDEO - Continuous Improvement and Scaling

• Iterative improvement processes.
• Scaling successful initiatives.

Learning Activities

• Case Study Analysis: Evaluate an AI Project’s Impact
• Interactive Quiz: Metrics and ROI Calculation

Week 2 Graded Assignment (Due at the end of Week 2)

• Task: Develop a plan to integrate generative AI into a specific business process within your organization.
• Objective: Demonstrate an understanding of AI’s impact on workflows and the workforce.

Week 3 Final Course Project  (Due at the end of Week 3)

• Task: Create a comprehensive generative AI adoption strategy for your organization, including implementation steps and success metrics.
• Objective: Apply course learnings to develop a strategic plan aligning AI initiatives with business objectives.

This master ’s-level online course is designed to provide strategic insights into applying generative AI in businesses to drive digital transformation and enhance enterprise value. Over three weeks, participants will engage in concise video lectures, interactive learning activities, and thought-provoking discussions to learn how to develop and implement a generative AI adoption strategy that aligns with business objectives and improves organizational processes.

By the end of this course, participants will be able to create a generative AI implementation strategy to improve company processes and achieve business objectives across various industries.