Privacy compliant Data Analytics

• Informative introduction into challenges of exploitation of customer data and the development of digital business models based on customer data
• Important concepts at the intersection between privacy and analytics: Privacy-by-Design; Privacy Engineering; Privacy Enhancing Technologies
• Exploration of most relevant Privacy Enhancing Technologies for analytics: AI-generated synthetic data; secure multiparty computation; federated learning; data cleanrooms
• Deep-dive into AI-generated synthetic data: approaches to create synthetic data (GANs, Variational Autoencoders; Autoregressive Networks); business potential of synthetic data
• Business cases and practical examples with real and synthetic data (predictive model performance comparison between synthetic and original data) – no programming required!

Top speaker

• 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. Dr. Michael Burkert, University of Fribourg