Following a successful second event in London, the AI in Capital Markets Summit (AICMS) arrives in New York City for the first time on June 26, 2025, to advance the critical industry conversation about artificial intelligence – from experimentation to production. Hosted by A-Team Group at @Ease on Third Avenue, this timely event is a must-attend for capital markets firms navigating the complex challenges of scaling AI solutions beyond proofs of concept (POCs).
With increasing pressure to leverage AI for competitive advantage, organizations must now grapple not only with technological complexity but also stringent governance, regulatory compliance, and operational resilience.
The New York Summit brings together expert speakers and senior industry practitioners to explore key issues, including the transformative potential of agentic AI, best practices for data governance, strategies for embedding AI into legacy infrastructures, and robust compliance and security frameworks.The day promises a wealth of pragmatic guidance designed specifically to equip capital markets professionals to implement AI successfully at enterprise scale.
Strategic Insights from London to New York
The London AI in Capital Markets Summit provided critical insights into the current state and future trajectory of AI within the industry. Attendees in London heard firsthand from industry leaders about how agentic AI and generative AI (GenAI) have begun transforming trading operations, compliance surveillance, and investment analytics. A central theme was the candid acknowledgment of practical challenges still faced by firms in scaling AI from experimental use cases into robust, enterprise-ready solutions. These include persistent issues around data quality, effective governance frameworks, and integration complexities into existing operational workflows.
The first two sessions at the New York Summit set a strong strategic direction, beginning with an insightful fireside keynote featuring Iro Tasitsiomi, Head of AI & Investments Data Science at T. Rowe Price, and Dessa Glasser, Independent Board Member at Oppenheimer & Co. They will introduce and demystify “agentic AI,” highlighting its transformative potential across trading, risk management, and analytics.
This keynote is followed by a practical user panel, moderated by Julia Bardmesser, CDO Advisor and Adjunct Professor at NYU Stern School of Business, with experts such as Erin Preston from Wedbush Securities, Tracy Shannon Rasco from JP Morgan Chase, Minerva Tantoco, and Vijay Bhandari of Point72. The panel addresses critical challenges in transitioning generative AI from proof-of-concept to robust, production-ready solutions, emphasizing governance frameworks, technical integration complexities, cost optimization, and effective team structures.
Deep Dive into Agentic AI – From Theory to Action
Following the opening keynote and the practitioner-led panel, attendees will hear from Leslie Kanthan PhD, Chief Executive and Co-Founder of TurinTech AI, whose keynote, “The Evolution of AI: From Additive Tools to Autonomous, AI-First Applications,” will provide a forward-looking perspective on the role of agentic AI in transforming financial software. Kanthan will examine the critical shift from AI-enhanced to AI-native software, exploring what it means for applications within financial services. His discussion will detail how agentic AI, coupled with predictive data science, is redefining real-time operational performance, improving accuracy, and optimizing decision-making processes across trading, risk management, and analytics.
Kanthan’s session will illuminate how autonomous, continuously evolving software models actively execute business functions rather than merely assist with them. Attendees will gain clarity on the fundamental changes required in software development methodologies, transitioning away from traditional incremental enhancements to entirely new AI-driven paradigms. This keynote is particularly relevant for financial institutions grappling with the practicalities of scaling intelligent automation and embedding continuous optimization into everyday workflows, offering a vision of the next generation of financial technology innovation driven by AI-first principles.
Data Foundations for AI – Advanced Perspectives
Central to achieving scalable AI success is building robust data foundations – a theme extensively explored in the mid-morning panel, “Data as a Differentiator,” moderated by EDM Council President John Bottega. This session assembles senior data and AI leaders from prominent firms including BNY’s Brian Greenberg, Vanguard’s Ravi Narang, Rimes’ Theo Bell, Chicago Trading Company’s Marla Dans, and OneTick’s Mick Hittesdorf. Together, these experts will dive deep into practical methods for establishing trustworthy, accessible, and high-quality datasets crucial for AI-driven decision making.
Panellists will address specific tactics for improving data discoverability and continuous curation, ensuring that financial institutions can leverage comprehensive and accurate data at scale. They will also discuss the complexities around data ownership, governance frameworks, and strategies to manage data quality issues – emphasizing the pivotal role of AI tools themselves in enhancing data consistency and reliability.
Theo Bell, Head of Product at Rimes, encapsulates the significance of this session, noting: “It feels like we’ve been talking about the importance of data quality for a long time, but the desire to use AI for strategic decision-making has finally brought data quality and data governance to the forefront. Given the many approaches and diverse use-cases in our industry, there are a lot of different components to consider.”
Infrastructure and Legacy Integration – Practical and Strategic Guidance
Transitioning from robust data strategies to the equally critical challenge of infrastructure integration, the afternoon panel, “Deploying AI Tools and Models into Legacy Infrastructures and Workflows,” will provide practical strategies for embedding advanced AI capabilities within existing operational frameworks. Moderated by Predrag Dizdarevic,?Partner,?Element 22, the panel includes senior technology leaders – Ashwin Roongta from Wedbush Securities, Bijit Ghosh from Wells Fargo, Leslie Kanthan from TurinTech AI, and Charles Lam from LSEG.
The panel will address key strategic considerations, notably the build-versus-buy debate, highlighting both the advantages and limitations associated with custom-built AI solutions versus off-the-shelf applications. They will examine methods for effectively evaluating third-party tools, the architectural trade-offs between cloud-based, on-premise, and hybrid compute environments, and the role of open-source technologies, retrieval-augmented generation (RAG), and vector databases in augmenting legacy systems.
Beyond these technical aspects, the discussion will critically address the rising concerns surrounding environmental impacts, particularly the carbon emissions associated with adopting large language models (LLMs) and generative AI applications. Experts will share insights into balancing these environmental considerations with cost efficiencies and ethical responsibilities, offering nuanced strategies to navigate these complexities in practice.
Unifying Surveillance and Strengthening Security
Afternoon sessions continue with a pivot towards critical operational concerns around compliance and security within AI implementations. The panel “Holistic Surveillance: From Fragmented Signals to Unified Intelligence” will explore how financial institutions are increasingly turning to AI to integrate traditionally siloed data sources – such as voice, electronic communications, trades, and market data – into unified, actionable surveillance systems. Experts including Jon Kroeper, former Executive Vice President of Surveillance and Investigations at FINRA, and Stan Yakoff, RegTech Advisor and Law Professor at Fordham Law School, will outline real-world strategies for achieving comprehensive oversight, highlighting the operational and regulatory benefits of deploying correlated alerts within single-case management workflows. The panel will tackle critical implementation hurdles, sharing insights into maintaining scalability, ensuring model transparency, auditability, and staying ahead of rapidly evolving regulatory expectations.
Directly following this, the panel “Balancing Security with Performance and Innovation in AI,” will delve deeply into best practices for integrating robust security measures into AI workflows without compromising performance or agility. Panellists including Sateesh Kumar from Societe Generale and Chandrakant Maheshwari from Flagstar Bank will discuss key issues such as aligning with global standards (ISO/IEC 42001, EU AI Act, and NIST AI RMF), embedding encryption and adversarial testing into MLOps pipelines, and employing proactive validation and model drift-detection strategies. Attendees will learn how to effectively manage evolving threats – including adversarial attacks and data poisoning – while balancing the demands of low-latency, high-performance financial operations.
Real-World AI Use Cases – Tangible Outcomes and Proven Value
As the event moves toward its conclusion, the agenda shifts focus from theoretical frameworks to practical implementation, highlighting real-world applications where AI has already demonstrated tangible business value. In this session, Julia Bardmesser and Eliud Polanco,?President,?Fluree, will share compelling, concrete examples of how AI is directly contributing to improved efficiencies, new revenue streams, and enhanced risk management within capital markets firms.
This session will highlight proven deployments, illustrating scenarios where firms have successfully leveraged AI not merely for isolated pilot projects, but for sustained, measurable business impact. These examples will span front to back-office functions, covering areas like enhanced predictive analytics in trading, streamlined operational workflows, automation-driven compliance and surveillance enhancements, and AI-powered customer and client engagement strategies.
Closing Keynote – AI’s Future and Cross-Industry Lessons
Bringing the summit to a visionary conclusion, Microsoft’s Industry AI Strategist, Andrew Comas, will deliver the closing keynote titled “Big Tech: The Future of AI.” Comas will offer an expansive look at emerging developments that promise to shape the future of AI in capital markets, drawing valuable lessons from broader industry applications and global technology trends. His presentation will examine not only the next incremental advances in AI but also the transformative impact of quantum computing – an innovation poised to radically enhance computational power and redefine AI capabilities. By exploring cross-sector learnings and integrating insights from other technology-intensive industries, Comas will help attendees understand the strategic opportunities that lie ahead, preparing them to effectively leverage these innovations within their organizations.
This final keynote will encapsulate the day’s core themes, reinforcing the necessity of strategic agility, robust governance, and forward-thinking infrastructure readiness to ensure firms are positioned to capitalize on future opportunities.
Join the Conversation – Reserve Your Place Now
Don’t miss this vital opportunity to join senior peers, industry leaders, and AI pioneers at the AI in Capital Markets Summit in New York on June 26, 2025. Engage with insightful keynotes, expert-led panels, and real-world success stories that will empower your organization’s AI journey. This event is your gateway to actionable strategies, advanced insights, and essential networking that will shape the way your firm leverages artificial intelligence to achieve tangible, measurable outcomes.
Reserve your place today and prepare to unlock AI’s full potential in the capital markets. Register HERE, or use the form below, and ensure your organization stays at the forefront of AI innovation and execution.
Subscribe to our newsletter
