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AI in Marketing
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Introduction
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Introduction
1: Introduction to Artificial Intelligence
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Learning objectives
1.1 What is Artificial Intelligence?
1.2 What is Big Data?
1.3 What is data science?
1 Exercise: Project Progress
2: How AI Works
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Learning objectives
2.1 How is AI different from traditional software?
2.2 What is Machine Learning?
2.3 What are some examples of marketing AI in action?
2 Exercise: Project Progress
3: Opportunities for AI
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Learning objectives
3.1 How do I know when my problem can be solved with AI?
3.2 How can I introduce AI into my organization?
3.3 How do I develop an AI strategy?
3 Exercise: Project Progress
4: The AI Development Process
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Learning objectives
4.1 How does feature analysis work?
4.2 What's agile development?
4.3 How do you design a real AI system?
4 Exercise: Project Progress
5: Working with Data
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Learning objectives
5.1 How does the data process work?
5.2 How does Machine Learning use data?
5.3 How do we measure our progress?
5 Exercise: Project Progress
6: People and AI
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Learning objectives
6.1 How do we correct errors?
6.2 Which situations raise ethical concerns?
6.3 Can we put humans in the loop?
6 Exercise: Project Progress
7: What's Next?
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Learning objectives
7.1 What's coming next in AI?
7.2 What's next for you and AI?
Summary
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AI in Marketing: Summary
Introduction
Introduction
Introduction
Introduction