AI and Advanced Analytics Applied at Raffeisen Bank International AG

Overview

Join us for an insightful look into how AI and advanced analytics are transforming the banking sector, specifically through the innovative practices of Raffeisen Bank International AG. Discover how they leverage cutting-edge technology to enhance decision-making processes and improve customer service.

Syllabus

• Introduction to AI in Banking
Overview of AI and Advanced Analytics
History and Evolution in Banking
Key Technologies: Machine Learning, NLP, Computer Vision
• Raffeisen Bank International AG: A Case Study
Company Overview
Strategic Goals and Innovation in AI
Key Projects and Initiatives
• Data-Driven Decision-Making
Data Collection and Management
Analytical Techniques for Predictive Modeling
Case Study: Credit Scoring and Risk Assessment
• Enhancing Customer Service with AI
Personalization and Recommendation Systems
Customer Feedback Analysis
Chatbots and Virtual Assistants
• Fraud Detection and Prevention
Techniques in Anomaly Detection
Real-Time Monitoring Systems
Implementation Challenges and Solutions
• Regulatory and Ethical Considerations
Compliance in AI Applications
Ethical AI Use in Banking
Data Privacy and Security Measures
• Emerging Trends and Future Directions
AI in Digital Transformation
Open Banking and AI Integration
The Future of AI in Financial Services
• Practical Workshop
Hands-On with AI Tools and Technologies
Developing a Simple Predictive Model
Use Cases: From Concept to Implementation
• Conclusion and Key Takeaways
Recap of Key Learnings
Impact of AI Innovations on Banking
Resources for Further Learning and Development

---

Subjects

Conference Talks