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AI for Leaders
1. Introduction
1.0 Welcome to AI For Leaders (1:12)
1.1 Hello AI
1.2 Course Objectives
1.3 Using the Course
2. What is AI?
2.0 'What is AI' Overview (11:20)
2.1 Where is AI?
2.2 AI Tools and Applications
2.3 AI and Robotics
2.4 Limitations of AI
2.5 AI in Finance
2.6 Case Study, Fidelity International
2.7 Checkpoint
2.8 Discussion Points
3. Learning From Data
3.0 'Learning From Data' Overview (11:44)
3.1 Data
3.2 Machine Learning
3.3 Deep Learning
3.4 Businesses Built on Data - Google and Facebook
3.5 AI for Forecasting, Amazon Case Study
3.6 Scaling AI Case Study, UBER
3.7 Checkpoint
3.8 Discussion Points
4. Taking Advantage of AI
4.0 'Taking Advantage of AI' Overview (6:57)
4.1 Goals, Objectives, Strategy and Tactics
4.2 Your AI Journey
4.3 Common Roadblocks
4.4 Checkpoint
4.5 Discussion Points
5. Implementing AI
5.0 'Implementing AI' Overview (0:28)
5.1 Capacity Development (2:02)
5.2 IT Infrastructure for AI (3:51)
5.3 Delivering an AI Solution (1:35)
5.4 Building an AI Orientated Culture and Organisation (2:36)
5.5 Skills for AI (4:44)
5.6 Checkpoint
5.7 Discussion Points
6. AI Planning Template
6.0 'AI Planning Template' Overview (0:44)
6.1 Using the Planning Template (13:28)
6.2 AI for Leaders Planning Template
7. AI for Leaders Summary
7.0 What Did You Learn? (0:41)
3.4 Businesses Built on Data - Google and Facebook
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