This course takes an Agile sprint approach where teams from participating NCAs encompassing different areas of competence come together to work on specific issues and technical solutions (e.g., IT, Business/Law Unit and SupTech division, in line with the NCAs organizational structure). Participants work intensively in cross-functional teams to create innovative solutions, often focusing on problem-solving and/or prototyping.
Before the prototype phase, the course will cover advanced theoretical lectures and presentations on use cases in other SupTech projects. The goal is to encourage creativity, teamwork, and the development of functional prototypes, with opportunities for learning, networking and celebration of failures and successes.
This training week is specifically designed for participants actively engaged in designing SupTech application proof-of-concepts or possessing robust coding experience. The program aims to advance both the theoretical understanding and practical skills of participants in the field of SupTech.
An overview of use cases of SupTech applications (EU or Non-EU NCAs)
Advanced AI topics:
Large language models
Techniques other than AI/ML used in SupTech applications
Identification of the organizational impact of SupTech solutions for supervisory authorities’ practice
Design proof-of-concept and prototyping of code
SupTech projects in productive set-ups : technology, challenges and learnings
Debugging and unit testing
Potential topics for the sprint:
NLP for automatic reporting
Web scraping and social media analysis
Forecasting tools – e.g. stress testing, credit risk analysis, green finance or a digital twin for physical climate risks
General exposure to SupTech
Advanced experience in coding (preferably Python or R) and/or close involvement in the development of a SupTech project
Prior exposure to the design of SupTech application proof-of-concepts
Recommended: Prior exposure to NLP, tree models and cluster analysis