1. Welcome & Introduction

• Warm welcome and session objectives
• Quick participant introductions (optional, if time permits)
• Overview of how AI is transforming business and roles

2. Understanding Generative AI

• Definition & Key Concepts
• What is Generative AI?
• Difference between Generative AI and traditional AI
• How Generative AI Works
• Basic explanation of models like GPT, DALL-E, and diffusion models
• Key Terms Simplified
• Tokens, training data, neural networks, and prompts

3. Applications of Generative AI

• Business Applications Across Functions
• Delivery & CoE: Automating content generation, documentation, and code suggestions
• Product Teams: Rapid prototyping, feature brainstorming
• Sales & Marketing: Personalization, content ideation, social media strategies
• Facility & IT Operations: Predictive maintenance, automated reporting
• HR: Tailored onboarding content, resume screening
• Finance: Financial forecasting, automated analysis
• Real-World Case Studies
• Examples from industries to highlight the impact
• Interactive Exercise
• Group discussion: “Where do you see the potential for Generative AI in your function?”

4. Tools & Platforms for Generative AI

• Overview of popular tools (e.g., ChatGPT, Jasper, Midjourney)
• Live demonstration: How to use a generative AI tool for a common task
• Brief on pros and cons of using these tools

5. Ethics & Risks of Generative AI

• Common Concerns
• Data privacy, bias, and misinformation
• Responsible Use Guidelines
• Practical tips for ethical and effective implementation

6. Interactive Q&A Session

• Open floor for questions
• Discussion on specific use cases from participant roles
• Address any misconceptions or deeper queries

7. Wrap-Up & Key Takeaways

• Summary of the session
• Key actions participants can take to experiment with Generative AI in their work
• Recommended resources and next steps for further learning