On 22 May, the AI in Capital Markets Summit returns to London for its second year, bringing together data, technology, and innovation leaders from across the financial services sector for a full day of discussion around AI strategy, deployment, and governance.
Held at the Leonardo Royal Hotel London City, this A-Team Group event will examine both current and emerging trends in AI adoption. The agenda will provide a practical roadmap for integrating AI into core operations, highlighting how firms can address key risks related to data quality, technology infrastructure, and model oversight. Sessions will explore how to align AI efforts with strategic objectives, when to prioritise traditional AI and machine learning over newer generative models, and where to focus investment across data, technology, and talent to unlock long-term impact.From front-office use cases and data engineering to governance, model risk, and regulatory scrutiny, the agenda covers the full spectrum of challenges facing capital markets firms as they navigate the AI opportunity.
Exploring Agentic AI and the Shift from Pilot to Production
In his opening keynote, Dara Sosulski, Head of Artificial Intelligence and Model Management, Markets & Securities Services at HSBC, will provide an in-depth look at agentic AI, the fast-emerging class of AI systems capable of planning, acting autonomously, and chaining tasks across systems. But what does that actually mean in a capital markets context? This session will demystify the concept by examining the difference between generative and agentic AI, and exploring real use cases being developed by leading institutions.
Despite widespread interest in AI, many financial institutions still struggle to scale beyond isolated pilots. In the day’s first panel session, ‘How to move GenAI from POC to production’, speakers will examine the key barriers to moving AI into production and share lessons learned on successfully aligning AI initiatives with business goals, building cross-functional teams, and managing cost, risk, and complexity in enterprise rollouts.
Leslie Kanthan, Chief Executive and Co-Founder of TurinTech AI, will then present a keynote exploring the transition from AI-enhanced tools to truly AI-native applications. Drawing on his experience at the cutting edge of intelligent automation, Kanthan will unpack what this evolution means for capital markets, from the rise of agentic AI and predictive data science to the development of systems that not only support decision-making but actively execute, optimise, and evolve in real time.
Building Stronger Data Foundations and Intelligent Workflows
No AI strategy succeeds without strong data foundations. The second panel of the day will therefore focus on the data layer, covering everything from data quality, lineage, and infrastructure, to extracting value from unstructured datasets using NLP and other techniques. Attendees can expect practical insights from panellists into how firms are improving data workflows to support more scalable and intelligent AI deployment.
“AI tools are becoming commodities,” notes panellist Rajesh Jethwa, CTO at Digiterre. “When capability is democratised, your only edge is the quality of your data foundation and the discipline of your practices.”
Daryush Laqab, Chief AI Officer at Ascendion, will then join TradingTech Insight’s Mike O’Hara in a ‘fireside chat’, to explore the transformative potential of agentic AI in capital markets. The conversation will examine how autonomous AI systems are beginning to influence critical functions such as trade execution, investment research, and client interaction, and what this means for operating models, governance frameworks, and competitive dynamics.
The next panel will tackle one of the most pressing operational challenges facing financial institutions today: how to effectively deploy AI tools and models into existing infrastructures and workflows. Panellists will explore the build/buy decision when it comes to AI applications, weighing flexibility against speed, cost, and control. The discussion will also cover how to assess the growing ecosystem of third-party platforms, and how to make strategic decisions around cloud, on-premise, or hybrid deployment models.
“I believe this will be a valuable panel discussion, as realising the full potential of AI requires secure and cost-effective integration into existing architectures,” says panelist Theo Bell, Head of AI Product at Rimes. “Given the rapidly evolving landscape, there are numerous considerations and strategic decisions to navigate. I look forward to contributing to the conversation by sharing insights from my experience supporting clients and partners on their AI journeys.”
Regulatory Perspectives and Model Risk Management
After lunch, Ed Towers, Head of Advanced Analytics & Data Science Units at the FCA, will present a keynote offering a regulatory perspective on AI, examining how the current regulatory framework is evolving to accommodate the rise of AI, where further guidance may be required, and how the FCA itself is investing in data and advanced analytics to support its supervisory capabilities.
This will be followed by a short keynote from Harsh Prasad, Principal & CEO, Qxplain, exploring model risk for AI/ML models in finance, who will go on to moderate the next panel, ‘Best practices for model risk management, security and performance.’ This session will focus on the critical discipline of model risk management, an area gaining urgency as firms accelerate their adoption of AI. Panellists will explore the complexities of testing and validating AI models, discussing the tools and best practices that can improve both efficiency and reliability. The panel will also address emerging risks associated with large language models, including hallucinations, ethics and bias. Speakers will offer practical insights on how to optimise model performance while keeping costs and risks under control.
What’s Next? AI, Big Tech, and the Quantum Horizon
The day will conclude with two forward-looking keynote sessions that examine what’s next for AI in capital markets through the lens of both Big Tech and breakthrough science.
First, Symon Garfield, Director of Capital Markets Advisory & Digital Strategy at Microsoft, will offer a view from the tech frontier in ‘Big Tech – The Future of AI’. Drawing on insights from Microsoft’s work across global financial services and beyond, Garfield will explore how AI is expected to evolve, what lessons capital markets can learn from adjacent industries, and how firms can prepare for the next wave of intelligent automation. He will also touch on the convergence of AI and quantum computing, highlighting where this powerful intersection could lead.
Building on that, Dr. Del Rajan, Senior Quantum Scientist at HSBC’s Global Innovation team, will take the audience deeper into this emerging frontier in his keynote, ‘The Intersection of AI and Quantum: Applications to Financial Markets’. Dr. Rajan will demystify the role of quantum computing, explain how it complements AI, and outline early-stage use cases in finance, from complex optimisation to accelerated machine learning. As quantum AI begins to move from theory to application, this session will offer a rare glimpse into how these transformative technologies could reshape the future of financial modelling, risk analysis, and beyond.
Why Attend?
Whether you’re developing AI models, building the data infrastructure to support them, or designing governance frameworks to keep them compliant, the AI in Capital Markets Summit will equip you with the insights needed to take the next step.
With perspectives from leading banks, asset managers, trading venues, data providers and technology firms, this is a must-attend event for anyone looking to operationalise AI across the capital markets ecosystem.
View our full agenda and sign up here or register below.
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