Difference between revisions of "ING Cooperation"
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(Created page with "= UT – ING Cooperation on AI in Finance = Committed funding: EUR 0.8 Million") |
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= UT – ING Cooperation on AI in Finance = | = UT – ING Cooperation on AI in Finance = | ||
Committed funding: EUR 0.8 Million | 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 | ||
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