- What the EU AI Act means for AI development and deployment in financial services
- Balancing regulatory compliance with innovation and competitive advantage
- Practical steps firms can take now to prepare for upcoming obligations
- Key enforcement dates every financial institution should know
- Exploring commonalities across financial crime and fraud detection and prevention and how financial services can adapt their strategies
- Leveraging data and AI for a holistic financial crime and fraud risk assessment
- Integrating AI into financial crime system capabilities to improve effectiveness
- Monitoring evolving business financial crime and fraud risks
- How can AI play a part in claims processing and enhance CX via chatbots and digital platforms?
- Key challenges in underwriting and claims handling
- The Big 3: Silos, biases and hallucinations
- What frameworks does Insurance need to digitally develop?
- Identifying and prioritizing high-value AI use cases
- Measuring ROI across efficiency, risk reduction, and revenue growth
- Overcoming challenges in scaling AI investments for long-term impact
- Comparing capabilities and trade-offs between Large and Small Language Models
- Use cases in financial services: scale vs efficiency
- Future outlook: hybrid approaches and evolving model architectures
