ai

1. Introduction to Artificial
Intelligence
• Unlocking the Future with AI
• Your Name | Date | Organization

2. What is AI?
• Machines that mimic human intelligence to
perform tasks and improve over time.

3. Brief History of AI
• Key Milestones:
• - 1950: Turing Test
• - 1956: Term 'AI' coined
• - 1997: Deep Blue
• - 2020s: ChatGPT

4. Types of AI
• - Narrow AI
• - General AI
• - Superintelligent AI

5. How AI Works
• 1. Data collection
• 2. Algorithm selection
• 3. Model training
• 4. Prediction

6. AI vs ML vs DL
• - AI: Broad field
• - ML: Subset of AI
• - DL: Subset of ML using neural networks

7. Real-World Applications
• - Healthcare
• - Finance
• - Retail
• - Transportation

8. AI in Everyday Life
• - Assistants
• - Search engines
• - Recommendations

9. Business Benefits
• - Efficiency
• - Decision making
• - Cost saving

10. Risks and Challenges
• - Bias
• - Privacy
• - Job loss

11. Ethics in AI
• - Fairness
• - Accountability
• - Transparency

12. Key Technologies
• - Algorithms
• - Neural Networks
• - NLP

13. Data: The Fuel of AI
• - Data quality and governance

14. AI Tools
• - TensorFlow
• - PyTorch
• - OpenAI

15. AI in Healthcare
• - Diagnosis
• - Drug development

16. AI in Business
• - Chatbots
• - Marketing
• - Forecasting

17. Starting with AI
• - Learn
• - Use cases
• - Start small

18. The Future of AI
• - AI + IoT
• - Explainability

19. AI and You
• - Upskill
• - Experiment

20. Q&A + Closing
• Thank you! Questions?