VZ
2025 challenges — Zurich + Lenzburg
Could an AI advisor that speaks like a friend help trading clients make smarter investment decisions?
Problem
Trading clients are constantly on the lookout for new investment opportunities. While they consume a large volume of news articles, they often lack the knowledge to determine which stocks best match their needs. Additionally, many do not fully understand key financial terms.
Why hack?
Increase financial literacy of privat investors and better investment decisions for trading clients.
Could an AI advisor that speaks like a friend help trading clients make smarter investment decisions?
Problem
Trading clients are constantly on the lookout for new investment opportunities. While they consume a large volume of news articles, they often lack the knowledge to determine which stocks best match their needs. Additionally, many do not fully understand key financial terms.
Why hack?
Increase financial literacy of privat investors and better investment decisions for trading clients.
How accurately can AI predict real-world insurance claim costs based on limited inputs like text and images?
Problem
Insurance companies receive thousands of claims every day, often with limited information: short text descriptions and a few images. Manually reviewing and estimating the damage cost is time-consuming, inconsistent, and expensive.
Why hack?
- Real-World Impact: Helps automate and speed up insurance processes, improving customer experience. - Measurable Results: Predictions can be validated against real payouts – perfect for scoring and demos.