This session examines machine learning for interest rates: using auto-encoders for the risk-neutral modeling of yield curves.

This forum for the buyside community includes proprietary nowcasts from CEIC, fund flow insights from EPFR, and strategic perspectives from the region's leading economists and buyside peers.

This forum focuses on Southeast Asia's fast-evolving capital markets, and includes proprietary nowcasts from CEIC, fund flow data from EPFR, and perspectives from the region's leading economists and asset managers.

Join industry experts from PM Insights, Trest Capital, Halberd Advisors, Headwall Private Markets, Unicorns Exchange, and RainMaker for a discussion on what to expect in the VC secondary market in 2026.

Explore best practices for financial professionals integrating AI and proprietary data models to enhance risk and investment workflows across portfolios, sectors, and markets.

Join the discussion for updates on global regulations and strategies for enhancing regulatory reporting, including upcoming changes and advice on how firms can navigate challenges in an evolving environment.

Explore how AI is eliminating barriers between complex analytical thinking and execution through demonstrations of breakthrough technology that lets you query sophisticated trading analytics using natural language – no more wrestling with syntax or hunting through documentation.

We take clients to stores to provide insights and a live dialogue to help them understand the current market dynamics. This is upon request and dependent on fee structure with the client

This webinar will include an in-depth discussion on US consumer resilience amid inflation, policy shifts and a changing economic landscape.

Discover how investors are adapting to AI disruption, geopolitical uncertainty, shifting central bank policy, and the convergence of public and private markets, from those managing many of the world’s biggest portfolios.

This three-day summit, organized and managed by the Analytics and Data Oracle User Community, features keynotes by industry experts, educational sessions by practitioners and developers, hands-on labs, and networking events.

ACA’s 2026 Conference explores where the future of compliance meets bold innovation. From regulatory priorities and enforcement trends to AI adoption and automation, this year’s agenda equips you with practical strategies to build resilient compliance programs in a volatile environment.

The conference will address fundamental problems in quantitative finance with a strong focus on machine learning and data-driven models.

Conference topics include models and algorithms, machine learning, big data analytics, computer vision applications and natural language understanding.