Difference between revisions of "ING Cooperation"
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*Explainable Artificial Intelligence | *Explainable Artificial Intelligence | ||
*Applications of Reinforcement learning | *Applications of Reinforcement learning | ||
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=== Business Models === | === Business Models === | ||
*The value of innovation projects in Finance | *The value of innovation projects in Finance | ||
*Networks of the client base | *Networks of the client base | ||
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=== The applicants and Outlook === | === The applicants and Outlook === | ||
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*Large Language Models for information retrieval from documents | *Large Language Models for information retrieval from documents | ||
*The detection of payment patterns\ | *The detection of payment patterns\ | ||
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== The acitivities == | == The acitivities == | ||
Latest revision as of 11:46, 17 October 2023
UT – ING Cooperation on AI in Finance
Committed funding: EUR 0.8 Million
Research objectives
The Foundations - Data
- The use of "meta labeling" technique
- Federated Learning
- Privacy-enhancing techniques for storing and analysing confidential data
- Applications of synthetic data generation for Finance
The main application - Risk Management
- Early warning systems for credit risk
- Machine learning for credit scoring
- Research on risk management related topics
Advanced Tools - Artificial Intelligence
- Explainable Artificial Intelligence
- Applications of Reinforcement learning
Business Models
- The value of innovation projects in Finance
- Networks of the client base
The applicants and Outlook
- Statistics of applying models
- Large Language Models for information retrieval from documents
- The detection of payment patterns\
The acitivities
- MSc Thesis Supervision
- Invited Industry Guest Lectures
- Academia - Industry Workshops
- PhD Internship Opportunities
- Impact-driven industry research