The AI in Finance Summit Fall is a premier event designed for financial services professionals, focusing on the latest trends and developments in artificial intelligence within the finance sector. Topics include autonomous finance, explainable AI, governance, risk and regulation, AI in trading and investment strategies, fraud detection, and the future of dat…
Programmed at AI, in alphabetical order.
The companies behind the program. Tiers as disclosed.
Selected from 61 sessions.
Nonlinear AI/ML representations, such as Random Fourier Features, can reshape financial data in powerful ways, but added complexity does not automatically improve forecasting perfo…
Building trust and transparency in agentic AI decision-making within financial services Balancing explainability, governance, and regulatory expectations for autonomous AI systems…
Nonlinear AI/ML representations, such as Random Fourier Features, can reshape financial data in powerful ways, but added complexity does not automatically improve forecasting perfo…
- Building trust and transparency in agentic AI decision-making within financial services - Balancing explainability, governance, and regulatory expectations for autonomous AI …
• From models to machines that act; finance is moving from prediction to execution • Autonomy is compounding; what started as automation is becoming decision making • The …
• Autonomous agents need guardrails - or they create new risks • Governance must move at the speed of AI • Trust in finance now depends on controlling algorithms • No o…
Most organizations expect to move the majority of their AI experiments into production within months - but only a quarter have actually gotten there. Financial services isn't immun…
• Scaling AI systems reliably in production • Monitoring and troubleshooting multi-agent systems • Best practices and open challenges for production
An audience of 36 companies, parsed from the program.
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