1) RGPD: Actuarial Regulatory Issues and constraints

• data: a growing need and a universal theme, local debates
• deciphering the principles of the RGPD and the impacts of data manipulation in the models
• data privacy officer: embodying data protection, spreading a culture within the company
• key compliance steps for insurers
• the practical consequences for the insurance industry: actuaries, risk managers, data scientists, etc.

2) Comparison of internal vs. external data 

the challenges for the insurance industry
Quality of the data defined by Solvency 2: completeness, depth of history, accuracy
similarities and differences between internal and external sources: volume, velocity, variability, truthfulness
common aggregation and anonymization issues
regulation of price discrimination in insurance
business licences

3) Open Data: valuation of external data

• plurality of sources
• reliability assessment
• operating techniques for actuarial models
• application examples

4) API: operation, integration and constraints

• many modes of operation
• commercial vs. open-source use
• integrability into established processes
• demonstration of sustainable use
• focus on regulatory constraints to date

5) Webscrapping: techniques and applications

• definition
• legal aspect: case law in insurance and elsewhere
• good practices
• interact with web pages
• tool presentation
• actuarial examples and feedback

6) Data acquisition project: collection and exploitation of external data to produce an original statistical report.