Public Pension Financial Forum (P2F2)

SimCorp is a proud member of Public Pension Financial Forum (P2F2). This year, we're bringing two sessions built around what investment accounting, investment operations, and finance teams are asking right now: how to move AI from pilot to production, and how to manage risk as private markets grow.

AI in Pension Operations: Moving from Pilots to Production
Sunday, October 4 | 9–10:15 AM ET | Preconference session 
Geoffrey Patsch, Head of Solutions Engineering, Americas, SimCorp

AI has moved fast, from pilots to business-critical use across the investment industry. Recent research shows 70 percent of buy-side firms now use AI to support their front office, up from just 10 percent a year ago. This session looks at where AI is delivering real value in pension operations today, and what it takes to get there.  

• Where AI is delivering measurable value in pension operations today, and where it's still maturing
• Why a unified data layer is the critical foundation for effective AI deployment
• Why vendor stability (57 percent) and access to innovation (54 percent) top the list of AI vendor selection criteria
• Lessons learned from pension funds that have moved AI from pilot to production

Managing Multi-Asset Risk in an Era of Private Market Growth
Tuesday, October 6 | 2:30–3:10 PM ET 
Melissa R. Brown, CFA, Managing Director Investment Decision Research, SimCorp
Dan Young, Solutions Engineering, Performance & Risk, SimCorp

As public pension allocations to private markets keep growing, traditional risk frameworks are struggling to keep pace. Inconsistent valuations, lagged data, and limited transparency create blind spots for investment and finance teams alike. This session looks at how pension funds are gaining full visibility across public and private holdings while maintaining the governance and reporting standards stakeholders expect.

• Why conventional risk models fall short once private market allocations grow beyond a marginal share of the portfolio
• Strategies for integrating private asset data into unified risk frameworks that support both investment decisions and financial reporting
• How emerging AI capabilities help pension funds analyze unstructured private market data, from capital call notices to quarterly reports
• Governance considerations for boards and finance teams as portfolios grow more complex