Financial Services Trends 2026: AI in Capital Markets and Risk
2026|
7m
23s
AI is rapidly reshaping capital markets, delivering new levels of speed, precision, and automation across trading, analytics, and operations. At the same time, its growing influence introduces complex risk considerations, from model transparency to regulatory expectations and systemic stability. Join us as we explore how firms can responsibly adopt AI to enhance performance while mitigating emerging risks. Attendees will gain practical insights into balancing innovation, governance, and resilience in an increasingly AI-driven market landscape.
Join us to learn:
- How AI is transforming trading strategies, market analytics, and operational efficiency.
- Key risk challenges: transparency, bias, regulatory scrutiny, and systemic impacts.
- Best practices for governance, controls, and responsible data and model management.
- Real-world examples of AI adoption in capital markets.
- The strategic importance of having a highly resilient enterprise-wide AI platform that provides the ability to scale AI solutions as well as ensure governance and transparency.
Richard Harmon | VP & Global Head of Financial Services
Dr Harmon has over 30 years of experience in Financial Services and leads Red Hat’s Financial Services business globally. His areas of specialization are in Risk Management, Advance Analytics, Fixed Income Research and Simulation Analysis. He has an extensive publication record, an invited speaker at numerous Global FSI conferences, sits on several AI advisory boards and on the Governing Board of OS-Climate, a Linux Foundation program, that is developing a common global platform to accelerate the analysis of measuring critical risks related to climate change mitigation and resilience. Dr. Harmon started his career as a Research Economist at the US Federal Reserve followed by senior positions at Citibank, Bankers Trust, JP Morgan, BlackRock, First American CoreLogic, Bank of America/Countrywide, SAP and Cloudera. He holds a PhD with distinction in Economics with a specialization in Econometrics from Georgetown University, Washington, DC.