Finances are one of the main pillars driving the business and individuals optimization and search of new solutions. At the same time finance related cases are sensitive to possible manipulations and unexpected errors. Therefore the attention to AI-based solution in the area has a high importance. The challenge invites to analyze the possible directions for AI application in finance sector, evaluate the associated risks and propose trusted and sustainable solutions.
The direction for the challenge ideas, which could be converted into multiple final thesis or individual project topics is the following:
- Fraud detection in financial data with the help of AI methods, analysis and investigation.
- Applying deep learning methods to trading strategies in financial markets.
- Research of AI methods usage for anomaly detection in accounting data.
- Stock prediction sensitivity to internal data changes and external factors.
- Forecasting economic crises using artificial intelligence algorithms.
Regarding more details on the challenge and topics contact Jelena Mamčenko (1-2 topics), Simona Ramanauskaitė (3-4 topics) and Irma Šileikienė (topic 5), VILNIUS TECH.