Join PRMIA London for Agentic AI in Risk Modelling: From Hype to Practice

Join PRMIA London for Agentic AI in Risk Modelling: From Hype to Practice

Overview

Join fellow risk professionals on Dec 3 to explore agentic AI in risk modelling, with a live demonstration and interactive Q&A.

How can agentic AI support risk model development and validation?

Where could agentic AI make a meaningful difference in your modelling work and what would you need to see before trusting its output?

Join PRMIA London and fellow risk professionals, in person, on the evening of 3 December to explore these questions through a practical example. Consider where AI could reduce time spent on analytical tasks, how its outputs can be reviewed and challenged, and where expert judgment remains essential.

Explore how AI can streamline modelling workflows, automate analytical tasks and support expert decision-making, with transparency, traceability and human oversight built in.

A live demonstration of d-fine’s CreditRiskSuite will illustrate these approaches in credit risk, followed by an interactive Q&A exploring their potential across risk modelling.

Bring your questions and the challenges you are seeing in your own work. Whether you are already exploring AI or assessing where to begin, this is an opportunity to examine an application in action, exchange perspectives with peers and leave with more focused questions for your own organisation.

Who Should Attend:

  • Risk professionals working in model development or validation.
  • Model risk and governance professionals assessing AI use and oversight.
  • Risk leaders considering where AI could add value to their teams’ workflows.
  • Anyone interested in the practical application of AI across risk modelling.

Walk away with actionable insights that can be applied immediately in your organization!


Many Thanks to Our Event Sponsor,
whose generous support has made this event possible



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Highlights

  • 3 hours
  • In person

Location

Brewer's Hall

Aldermanbury Square

London EC2V 7HR

How do you want to get there?

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