Trading Tomorrow - Navigating Trends in Capital Markets

Artificial intelligence has quickly moved from experimentation to enterprise discussion across capital markets. But as the initial excitement fades, senior leaders are beginning to ask tougher questions.

Where is the measurable return? What actually scales? And how do firms move from pilot programs to real operational impact?

In this episode of Trading Tomorrow – Navigating Trends in Capital Markets, Jim Jockle speaks with Cubillas Ding, Director and Markets Insights Consultant at Celent, about the evolving debate around AI’s return on investment.

This is a recap of an exciting season of Trading Tomorrow - Navigating Trends in Capital Markets. 

Artificial intelligence is reshaping how financial institutions manage risk, compliance, and data and regulators are moving just as fast. As AI becomes embedded in core decision-making systems, firms are navigating new expectations around explainability, privacy, accountability, and trust.

In this episode of Trading Tomorrow – Navigating Trends in Capital Markets, attorney Maryam Meseha, founding partner and co-chair of Privacy and Data Security at Pierson Ferdinand, explains how regulatory frameworks, board-level governance, and evolving data protection requirements are influencing AI adoption inside financial institutions.

It’s a wide-ranging look at how financial institutions are balancing innovation with oversight as AI accelerates that you don't want to miss. 

As AI systems become more autonomous, they are making real-time decisions, managing sensitive data, and interacting across increasingly complex identity environments. That shift raises new questions about access, control, and accountability. 

In this episode of Trading Tomorrow – Navigating Trends in Capital Markets, host Jim Jockle speaks with Raz Rotenberg, the Co-founder & CEO at Fabrix Security. Rotenberg discusses how identity protection must evolve in AI-driven financial systems. He explains what an “AI native” approach to security means in practice, why context and reasoning are becoming central to identity management, and how regulated institutions can balance autonomy, privacy, and oversight as their AI capabilities advance.

As financial institutions become more data-driven, one of their biggest challenges is finding ways to collaborate and innovate without exposing sensitive information. Privacy enhancing technologies, known as PETs, are emerging as a potential solution, enabling banks and market participants to analyze, share, and enrich data while maintaining strict privacy and regulatory requirements.

In this episode of Trading Tomorrow – Navigating Trends in Capital Markets, host Jim Jockle speaks with Ronen Cohen, Vice President of Strategy at Duality Technologies, about how PETs are being used across compliance, fraud detection, financial crime investigations, and market analytics.

As AI spreads across trading, risk, compliance, and client interactions, financial institutions are grappling with how to bring governance and oversight in line with the pace of innovation.

In this episode, David Trier, Vice President of Product at ModelOp, joins host Jim Jockle to discuss how firms are extending long-standing model risk frameworks into the world of AI and agentic systems. Drawing on more than two decades in analytics and risk technology, he talks about where the industry really stands on AI governance today, how regulations are influencing practice, and what changes as models become more dynamic, data-driven, and autonomous.

The same tools fueling financial innovation are also being weaponized to exploit system vulnerabilities. From deepfakes to data breaches, regulators and institutions are racing to keep pace with a rapidly changing threat landscape.

In this episode of Trading Tomorrow -- Navigating Trends in Capital Markets, Krik Gunning, CEO, Fourthline, and a leader in compliance innovation with a background spanning banking, entrepreneurship, and fraud prevention, joins Jim Jockle to discuss how AI is reshaping trust, regulation, and security in global finance.

The conversation explores the growing sophistication of AI-driven attacks, how machine learning is strengthening defenses, and why collaboration and explainability are now central to the future of compliance and fraud prevention.

Tokenization is moving from concept to practice as regulation, infrastructure, and institutional readiness advance. In this episode, Alan Konevsky, Chief Executive Officer of tZERO and Manish Dutta, Co-Founder & CEO of Alphaledger discuss how real-world assets on chain are shifting issuance, trading, and investor access. The conversation covers the practical arc of adoption, the link between issuance and liquidity, the role of broker-dealers, ATSs and custody, and why interoperability and user-level utility will determine what scales next. 

As data and AI reshape financial services, the question isn’t just what can be built but also, how it can be built responsibly.

In this episode, Melissa Koide, CEO of FinRegLab, joins host Jim Jockle to discuss how technology and regulation are evolving together. From credit inclusion and data privacy to explainable AI and model oversight, Melissa shares insights from years of research bridging public policy, innovation, and consumer protection. 

Markets in 2025 are testing investors’ ability to read a changing cycle. Between AI-driven innovation, shifting monetary policy, and new waves of economic nationalism, signals are mixed but momentum is building in unexpected areas.

In this episode, David Russell, the Global Head of Market Strategy, TradeStation, joins host Jim Jockle to discuss how today’s environment mirrors past inflection points, why AI and automation are widening their reach across sectors, and what indicators he’s watching most closely as 2026 approaches.