IFoA GIRO Conference

Key topic areas

This year, we are focusing on four key areas within general insurance:

• Market and economic trends: Insurance market developments, inflation, global outlook, social fairness
• Technology and innovation: Data science, AI, machine learning, coding in insurance
• Emerging and evolving risks: ESG, climate change, geopolitics, cyber risk, digital currency, driverless cars
• Regulation and professionalism: Regulatory changes, Solvency II reform, IFRS 17, professionalism, DEI

What to include in your proposal

Please provide:

• 250-word summary outlining:

• • Target audience and assumed knowledge level (helps us market your session effectively)
  • Key takeaways (what attendees will learn, why it is valuable)
  • Supporting background (for example, based on a working party, new research, survey findings)

• Session format (for example, panel discussion, debate)
• Company and contact details of all proposed speakers

Example of a good submission

“Why isn’t machine learning (ML) used routinely in reserving as it is in personal lines pricing? Although there is widespread interest in ML, we see the same questions come up time and time again on difficulties and obstacles to incorporating ML into reserving. These are topics of substance with no single, easy answer and include questions such as: 

• Why use ML for reserving in the first place? 
• How do you get your stakeholders (including auditors) on board with using ML?  
• How can we research and apply ML techniques if we don’t have access to granular transactional data? 
• How do you incorporate judgement or external information into an ML-based reserving process 
• Are actuaries going to be replaced by data scientists? 

In this session we will have a panel discussion featuring various members of the Machine Learning in Reserving Working Party (MLRWP) and we will discuss these points and others. The MLRWP has shared many of our findings and material in talks and on our blog.

This will be a high-level session rather than a technical one. It should be of interest to actuaries at all levels with an interest in ML including senior actuaries and team leaders who are interested in using ML in the reserving process and may be asking many of these same questions. 

Speakers: A Smith (chief actuary, Insurance PLC), F Bloggs (actuary, ABC consultants)”