Analytics and machine learning methods are common in personal lines pricing. Less so in commercial lines, where the application, use and potential is varied and, currently, largely untapped.

Join this session on commercial lines analytics to explore the potential of varied applications, with the aim of significantly enhancing the efficiency and accuracy of processes across the insurance value chain.

During the session, attendees will be:

• introduced to a series of AI and machine learning use cases used to enhance various processes within commercial lines, from data ingestion and pricing to risk management and reserving
• explore some of the methods, research and findings from the Actuarial Science Data Science Working Party and GenAI Working Party
• gain insights from a variety of perspectives, including insurer, MGA, Insurtech and consultancy

Target audience and assumed knowledge level: No specialist knowledge required.

Speaker and company: 

Betty Zhu, Akur8
Bijal Patel, Aurora
Karol Gawlowski, Allianz Global Corporate & Specialty
Bruno Bécha, Akur8