Opening and Welcome
Andrew Delaney, President & Chief Content Officer, A-Team Group

Keynote Regulator Fireside Chat: The enforcement landscape for prediction markets

• What are the CFTC’s enforcement priorities for 2026?
• How does the Insider Trading Law apply to prediction markets?
• What action is the CFTC taking to manage insider trading?
• Considering CFTC enforcement priorities, how should market participants prepare as they build the next generation of regulated trading infrastructure?
  

Interview with: David I. Miller, Director, Division of Enforcement, Commodity Futures Trading Commission (CFTC)
Interviewed by: Carolyn Pokorny, Partner and Co-Chair of the White Collar Crime and Government Investigations Practice, Akerman LLP

Presentation: Building compliance and surveillance for prediction markets – Lessons for a new asset class

• How can market operators embed controls directly into contract design before a trade to ensure the market can withstand future regulatory scrutiny?
• How do compliance teams identify and monitor insider trading when the market universe extends beyond traditional corporate information holders?
• What specialized surveillance frameworks are required to detect manipulation in event-driven markets where “normal” behavior is constantly evolving?
• What lessons can prediction market operators learn from the historical evolution of enforcement and electronic trading manipulation in traditional capital markets?
• How should market participants design and resource their compliance programs today to actively prepare for the shifting enforcement priorities of tomorrow? 

Joe Schifano, Global Head of Regulatory Affairs, Eventus 

Panel: Bridging the gap – A Blueprint for institutional prediction markets

A discussion on the technical, regulatory, and operational hurdles of moving event-based trading from niche to mainstream

• What risk management and infrastructure gaps must be solved to satisfy institutional requirements for large scale adoption?
• How can institutional users organize, normalize, and access this new form of market activity regarding data coverage, deliverability and usability?
• How should firms manage surveillance, market manipulation and cross market abuse monitoring?
• New sources of alpha: Prediction markets data –  what are the opportunities for data monetization?

Moderator: Richard Leader, CEO, FXswapX
JB Mackenzie, General Manager & VP – Futures & International, Robinhood
Michael Blaugrund, VP, Strategic Initiatives, Intercontinental Exchange (ICE)
Daniel Davis, Chief Revenue Officer, Connamara Technologies
Nabeel Ebrahim, Chief Revenue Officer, Behavox

Fireside Chat: The front line of defence – inside Kalshi’s real time market integrity framework

• From policy to practice: How do market operators build a compliance framework from the ground up for an entirely new asset class?
• Managing insider trading: What surveillance tools and data checks are required to catch and enforce penalties against insider trading?
• Architecting 24/7/365 surveillance: How can a lean compliance team monitor 24/7 news and social media spikes without being flooded by false alarms?
• Leveraging AI for triage: How is automation used to speed up regulatory checks, and where is human review still mandatory?

Interview with: Sudhir Jain, Chief Compliance Officer & Head of Regulatory Affairs, Kalshi
Interviewed by: Dorothy D. DeWitt, Founder and CEO, Tölt Strategies; Fmr CFTC Director of Division of Market Oversight; GC,Coinbase; Chief Finance Counsel, U.S. Senate

Fireside Chat: The new economics of control

As markets move toward continuous trading and AI-driven operations, firms face a fundamental question: which decisions should remain human, and which should be delegated to machines? In this fireside chat, Krishna Nadella, author of the Artificially Intelligent newsletter, explores how control, accountability and competitive advantage are being redefined in a world where technology no longer just supports decisions-it increasingly makes them.

• Is the future trader an operator of intelligent systems rather than a decision maker?
• As firms pursue 24/7 markets and autonomous workflows, how much control are leaders willing to give up?
• If every competitor has access to the same AI models, where does competitive advantage actually come from?

Interview with: Krishna Nadella, Head of US Sales, Financial Services, ITRS Group
Interviewed by: Adrian Sharp, Editor, A-Team Group

Panel: Building for 24/7/365: Resiliency, cloud and scaling trading Infrastructure

Panel to address the infrastructure and engineering challenges firms must address to trade in global, continuous markets

• What are the technical requirements for building a resilient foundation that maintains system reliability without increasing operational risk?
• From a market operator perspective, what are the critical system breakers required to maintain market integrity in a 24/7 continuous environment?
• How are firms leveraging GenAI, automation, APIs and low code platforms to accelerate and enable the rapid build out of new tools to keep up with continuous market change?
• How should firms re-define price discovery and calibrate risk measures for margin requirements, particularly in light of FINRA’s adjustment of the margin rule requirement?
• How should firms manage funding and resource constraints to support a continuous trading model?

Moderator: Andrew Delaney, President & Chief Content Officer, A-Team Group
Jason England, Global Head Capital Markets Infrastructure Architecture and Engineering, BMO Capital Markets
Pawel Szopinski, Global Head of eTrading Services Delivery, Barclays
Krishna Nadella, Head of US Sales, Financial Services, ITRS Group
Johan Norén, System Architect, Vermiculus

Panel: AI and automation – From coding to governance

Panel to explore the evolution of agentic AI in trading and the transition from pilots to governed and scalable AI

• How does Agentic AI re-define the role of the developer and how will this evolve?
• What metrics should firms use to measure efficiency gains?
• How should firms manage shadow AI and operational risks of citizen development as non-technical staff build and deploy their own AI tools?
• With developers using external open-source AI models and packages, how do firms protect their software supply chains from hidden security flaws and liabilities?
• What are the best practices for optimizing spend and allocating expensive GPU/compute resources?

Moderator: Eric Karpman, SME in Trading Technology & Electronic Trading
Rachel Zhang, Managing Director, Global Head of Fixed Income Technology, Jefferies
Dino Vitale, Distinguished Engineer – GenAI/AI/ML Platform Engineering, TD Bank
David Winig, Managing Director, Architect, Galaxy
Serdeep Singh, Sales Engineer – North America, Genesis Global 

Lunchbreak and networking with sponsors 

Conference Chair – Afternoon Remarks

Fireside Chat: Meeting the needs of continuous markets with cloud and AI

• How can cloud architectures enable firms to handle increases in volatility and bottle necks with end of day processes to support 24/7 trading across a broader set of asset classes and markets?
• How are financial institutions capturing the ROI for Gen AI autonomous AI agents across front-to-back office workflows?
• How are emerging tokenization trends and digital assets intersecting with traditional cloud trading infrastructure to reshape market structures?
• With cloud, agentic AI and tokenization all accelerating simultaneously, what will the next-generation trading floor look like over the next three to five years?

Interview with: Alex Mirarchi, Head of Business Development, Exchanges, Market Infrastructure and Trading, AWS
Interviewed by: Anthony Zawadzki, Head of Data Products, NYSE

Panel: High performance trading infrastructure – the blueprint for speed, trust and competitive edge

• How has the definition of high performance infrastructure evolved, and what are the metrics that go beyond raw speed?
• Beyond network latency, how is the architecture of the entire data stack being reimagined to provide a more meaningful competitive advantage?
• How do you manage the tension between achieving maximum speed and maintaining a provable, transparent infrastructure that meets increasing regulatory demands?
• How are firms using event driven architectures to remove non-determinism while addressing the practicalities of maintaining a secure and resilient environment?
• What are the most effective ways to combine the front office’s low latency requirements with the massive scale of the cloud?
• As we move toward more automated and continuous markets, what will be the single most important component of the high performance blueprint in 2026?

Moderator: Adrian Sharp, Editor, A-Team Group
Habib Shaikh, Executive Director, Distinguished Engineer, Head of High-Performance Electronic Trading Infra, UBS
Eric Powers, Director, Citi Tech Fellow; Head of High Performance Architectures Infrastructure, Citi 
Jason England, Global Head Capital Markets Infrastructure Architecture and Engineering, BMO Capital Markets
Robert Tomasselli, Former IT Architect for Trading Infrastructure, Risk Management & Market Data, RBC Capital Markets
David Taylor, CEO, Exegy 

Presentation: Your 4:00pm architecture is running a 24/7 market

Everyone is investing in better AI models, but agentic AI is 80% context and integration. Most of it currently runs on yesterday’s data snapshots. This session makes the case that the real-time enterprise is won or lost in how your data moves across pipelines, not in which specific AI model you select.

• Why does stale data snapshotting undermine an autonomous AI agent and how do we achieve true decision freshness?
• Why do successful AI agent pilots stall when moving to production, and how do we prevent point-to-point data messes when bots start talking to each other?
• How does an event mesh connect fragmented, multi-cloud platforms so they can sense market shifts, decide with AI and act at machine speed?

Joshua Carroll, Chief Technology Officer, Solace 

Presentation: When trading speed outruns governance

• As trading decisions, analytics, and execution compress toward machine speed, what new governance gaps emerge — and who is accountable when controls can’t keep up?
• How should capital markets firms redesign control architecture so that governance and resilience remain embedded as trading technology becomes faster, more automated and increasingly AI-enabled?
• How can firms deploy advanced hardware acceleration—such as integrated photonics to compute complex compliance and risk checks at the exact speed of the trade?

Vishal Gupta, Technology Executive FinTech & Risk Innovation Leader; Executive Director, Head of Equity Derivatives Technology, Mizuho

Panel: Unlocking the value of data as a differentiator – The data product imperative

• What does it mean for a trading firm to adopt a data product mindset, and why is this shift becoming a strategic necessity?
• How can firms manage rising market data costs while still ensuring they have the high-quality inputs needed for alpha generation?
• How are firms successfully monetizing or reusing data internally to improve execution outcomes or client service?
• What technical and cultural changes are required to break down data silos and enable a more agile data delivery model?
• What role can Large Language Models (LLMs) and AI tools play in structuring and normalizing alternative data such as news and chat logs to create new, monetizable data products?
• How should firms define and manage the right data quality for critical use cases, balancing the need for high fidelity in predictive models against the cost of sourcing it?

Moderator: Peggy Tsai, AI & Data Management Leader
Vishal Gupta, Technology Executive FinTech & Risk Innovation Leader; Executive Director, Head of Equity Derivatives Technology, Mizuho
Nataliya Bershova, Head of Equity Electronic Trading, Truist Securities
Vijay Bhandari, Executive Director, CDAO, JP Morgan Chase
Kim Prado, Managing Director, Global Head of Product, GlobalLINK, State Street