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Event Date | Tue Mar 1 EST (almost 3 years ago) |
Location |
TBA
New York City |
Region | Americas |
This summit brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technology. Join us at industry’s most impactful AI for finance event.
With a use-case oriented approach to content, we deliver actionable insights from those working on the frontlines of AI in the enterprise. We provide a common framework for thinking about what AI means to the financial services industry and to deliver content that progresses understanding at any stage of an organization’s AI journey. Welcome to our community!
Who Attends?
Make connections with people who can help you on your AI journey.
Since attendance to this event is application-only, you’re guaranteed to be in like-minded company. We maintain low rates of service providers to reduce sales pitches and increase quality dialogue. Use our networking app to connect with other conference attendees, book 1:1 meetings, and more. Common job titles include…
• C-Suite Execs: CIO / CTO / CDO / CAIO / CISO
• Heads of Innovation / Digital
• Heads of IT & Security
• Director of Technology
• Product/Project Managers
• Lead Data Scientists & ML Engineers
2022 Speakers
Abhinav Anand
Managing Director, Marcus, Goldman Sachs
Misty Ritchie
SVP Enterprise Complaints Management, Wells Fargo
Alexander Statnikov
Head of Automation, Square
Sri Ambati
CEO & Founder, H2O.ai
Rachel Levanger
Director of Data Science, Fidelity National Financial
Rick Ballmann
Vice President, Engineering, Data Intelligence and Customer Experience, American Express
Evan Sekeris
Head of Model Validation, PNC
Amit Srivastav
Executive Director, Morgan Stanley
Marko Kangrga
Head of Quantitative Research, Americas, RavenPack
Nicholas Subryan
Director, Artificial Intelligence Systems & Quantitative Research, Kaiju Capital Management
Petter Kolm
Professor of Mathematics, NYU
Anshul Vikram Pandey
Co-Founder and CTO, Accern
Tom Rimmer
Strategic Sales Executive, Speechmatics