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This course offers a practical introduction in Artificial Intelligence and Machine Learning (AI/ML) for non-technical business leaders. It helps business domain experts better assess the potential of AI/ML for their businesses, avoid common pitfalls when implementing AI/ML in their organisations and initiate and execute successful data driven projects.
- Introduction in Artificial Intelligence and Machine Learning (AI/ML)
- Data driven organisation and democratisation of AI/ML
- ML problem framing and ML Canvas
- Practical examples of Supervised and Unsupervised ML problems
- Practical exercises: Pricing, Shopping Basket Analysis, Sentiment Analysis…
- AI/ML and Regulations; Consequences of GDPR on AI/ML; Data Privacy and AI
Top speakers
- Amir Tabakovic – Strategist, Innovator, Investor in ML Technology
- Chair of Expert Group Data Privacy and AI at Mobey Forum
- Guest lecturer at ICEMD and ESADE
Subject Area Co-ordinator
- Prof. em. Dr. Stephanie Teufel, Director a.i. iimt
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