Name: NASDAQ - AI in the wild: Survival lessons from real-world model development
Start: 2026-05-26T14:00:00+0200
End: 2026-05-26T14:45:00+0200

NASDAQ - AI in the wild: Survival lessons from real-world model development

LIMITED

Tuesday May 26, 2026 14:00 - 14:45 CEST

2 - GRAND PAVILION

Limited Capacity seats available

AI looks clean in tutorials. In production, it rarely is. This workshop offers a practitioner’s walkthrough of real-world ML development - exploring what the process actually looks like when you’re building detection systems for real clients, with real data, under real constraints.
Drawing on experience developing and deploying machine learning systems inside global financial market surveillance, the session is structured around three transferable lessons: how to translate a client’s business problem into a well-formed ML problem; how to stay flexible and recalibrate when early assumptions don’t hold; and how to navigate the statistical realities of imbalanced, dependent, and noisy real-world data.
Each lesson is grounded in real project experience - honest about the complexity, and focused on the thinking and decision-making that determines whether a model earns its place in production. Attendees will leave with practical insight they can apply to their own projects, and a clearer picture of what separates ML that ships from ML that stalls.

Speakers

Sarah Bradley

Director of Data Science & AI, NASDAQ

Sarah Bradley is Director of Data Science & AI at Nasdaq, where she leads the development and deployment of machine learning, generative AI, and agentic AI capabilities across Nasdaq Market Surveillance - a platform used by more than 65 exchanges and regulators globally to detect... Read More →

Tuesday May 26, 2026 14:00 - 14:45 CEST
2 - GRAND PAVILION

Data / AI, Talk

Audience Advanced

Attendees (166)

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Dev Summit 2026

Sarah Bradley

Attendees (166)

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Dev Summit 2026

Sarah Bradley

Attendees (166)

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