CDAO Financial Services Europe schedule

• • Leveraging AI agents to streamline claims processing and operational costs. 
  • Enhancing stakeholder experience and underwriting contract intelligence by parsing treaties and contracts to detect ambiguities, exclusions, or silent exposures. 
  •  Unlocking strategic value by accelerating business processes, scaling operations efficiently, and driving better loss ratio management. 
  • Dynamically monitor emerging signals like social inflation or economic indicators and adapt exposure assumptions in real time. 

• From analysts to data citizens: Scaling data use across teams. 

• Building high-performing data teams: Skills, roles, and structures. 

• Fostering a culture of experimentation and agility. 

• Upskilling in AI and analytics: What financial leaders need to know. 

• Retaining talent in a competitive tech-driven market.

• • Establishing robust data governance as the cornerstone of transformation. 
  • From siloed data to a unified architecture: Laying the groundwork. 
  • Educating teams and aligning leadership around data literacy. 
  • The role of compliance and regulation in shaping data infrastructure. 
  • Why strong fundamentals are critical before scaling AI initiatives. 
  
  
  

• Session focus: Discover how Generative AI is not just another innovation, but a transformative force that redefines creativity, emphasizes the importance of data quality, and shapes the future of technology with ethical vigilance and human collaboration 

  • Generative AI: Exploring whether it is just another innovation or something more transformative. 
  • Innovation Elements: Differentiating between invention and innovation, and the importance of culture, values, and collaboration. 
  • Data Quality: Identifying the importance of data quality in the context of AI and technological advancements 
  • Future Vision: Emphasizing the need for ethical vigilance, good data governance, and the collaboration between humans and AI

• Building ethical AI frameworks tailored for financial institutions. 

• Navigating GDPR, DORA, and other evolving compliance landscapes. 

• Creating explainable and auditable models: AI transparency in action. 

• Bias, fairness, and accountability: New standards in AI risk management. 

• Internal governance vs external regulation: Finding the right balance. 

Speakers: 

              Norman Stuertz - Chief Data & Analytics Officer, St. Galler Kantonalbank AG 

              Petr Polášek- Director of Analytics, Smava