March 31 - April 1 2026 | New York Marriott, Brooklyn Bridge

Decode the Market.
Build the Future.
Capture the Alpha.

2026 AGENDA

SPONSORSHIP OPPORTUNITIES

Sam Hartman

AI Solution Architect Mistral AI

Sam Hartman is an AI Solution Architect at Mistral AI, partnering with customers to design and deploy production-grade LLM systems—from use case scoping to evaluation and integration. He studied CS at Penn with a focus on NLP research, worked as a Data Science Consultant at EY, and later led internal AI development at Adobe, building tools for go-to-market teams to scale research and business-case creation.

DAY TWO I Wednesday April 1

10:00 AM FIRESIDE CHAT: Owning your AI Future - The need for customizing and controlling AI in the financial sector

As base models commoditize and off-the-shelf AI proliferates, the next frontier in quant finance isn’t just using AI—it’s owning it. The firms that will dominate are those that customize models to their proprietary data, control their infrastructure, and embed AI into workflows designed for their unique edge. But how?

In this session, we’ll tackle the pragmatic realities of AI adoption in quant finance:

• Where’s the ROI? From research acceleration to operational alpha, where are funds seeing real returns—and where’s the hype?

• The fine-tuning imperative: If you could deploy a model on your proprietary data tomorrow, what’s the first problem you’d solve?

• Infrastructure vs. capability: When adopting AI, is the bigger hurdle the model itself—or the data pipelines, compliance guardrails, and workflows needed to make it actionable?

• The durability question: As AI tools become table stakes, where does lasting advantage reside—in the model, the data, or the way you wield both?

Proposed questions:

• Where do you see the biggest ROI from AI in quant finance today — research, code, operations, or somewhere else?

• If you could fine-tune a model on your proprietary data tomorrow, what's the first problem you'd point it at?

• When you think about adopting AI for your quant workflows, what's the bigger blocker — model capability or data infrastructure?

• As base models commoditize, where does the durable competitive advantage actually live — in the model, the data, or the workflow?

Check out the incredible speaker line-up to see who will be joining Sam.

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