PREVIOUS Attendees
PREVIOUS Attendees
What We Do

The Ai4 2022 Finance 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!

AI
Focused
Finance
Specific
Application
Only
Use Case
Driven
Attend the Conference

Complete the brief 1-minute application below.

Unsure if you qualify? See the full criteria. Interested in showcasing your products/services to our audience? Apply to sponsor.

2022 Speakers

The Ai4 2022 Finance Summit will welcome 40+ speakers from leading organizations. All of our speakers are actively involved in artificial intelligence and machine learning projects.

Clay Jackson

VP Product Management, Small Business Card - Capital One

Prashant Dhingra

Managing Director - JP Morgan Chase

Marina Kaganovich

Director, Head of U.S. CIB Digital Compliance - BNP Paribas

Agus Sudjianto

EVP, Head of Corporate Model Risk - Wells Fargo Bank

David Monahan

SVP, Business Information Security Officer - Bank of America Merrill Lynch

Anshul Vikram Pandey

Co-Founder and CTO - Accern

Ken Zhang

Head of Research Technology Data Science - Morgan Stanley

Jacob Kosoff

Head of Corporate Model Risk - Regions Bank

Rashu Garg

Enterprise Head Of Data Products - Regions Bank

Jose Murillo

Chief Analytics Officer - Grupo Financiero Banorte

Douglas Hamilton

Managing Director of Artificial Intelligence - Nasdaq

Mike Purewal

Director, Global Securities Lending - Bank of America

John Power

Chief Data & Analytics Officer - Equifax

Drew Conway

Head of Data Science for Two Sigma Real Estate

Natalia Bailey

Policy Advisor, Digital Finance - Institute of International Finance

John Thomas

Distinguished Engineer and Director, IBM Data & AI - IBM

Che Guan

Data Scientist - Previously at Raymond James

Harish Doddi

Founder & CEO - Datatron Technologies

Peter Golden

AML Transaction Monitoring Executive - USAA

Matthias Feiler

Head of Asset Allocation - LGT Capital Partners

Ashish Jain

Chief Product Officer - Arkose Labs

Victor Ghadban

Chief Field Data Scientist - Explorium

Hanyu Yang

VP, Quantitative Analytic Specialist - Wells Fargo

Michael Berger

Head of AI Insurance - Munich Re America

Ryan McQueen

Head of Product - DeepSee.ai

Liliang Chen

Senior Modeler - Fannie Mae

Natesh Babu Arunachalam

Senior Data Scientist - Finicity (A Mastercard Company)

Hemali Shah

Data Scientist - Regions Inc

Alex Tsyplikhin

Manager, AI Engineering - Graphcore

Sathish Thyagarajan

Marketing & Engineering Leader, AI & Analytics - NetApp

Wes Barlow

Sr Data Scientist - USAA

Matt Greenwood

Chief Innovation Officer - Two Sigma

Abhinav Anand

Managing Director, Marcus - Goldman Sachs

Misty Ritchie

Quantitative Solutions Director, Customer Data Listening, Analytics and Controls - Wells Fargo

Rick Ballmann

Vice President, Engineering - Data Intelligence and Customer Experience - American Express

Sofia Freyder

Executive Director, Digital Payments - JPMorgan Chase

Sri Ambati

CEO & Founder - H2O.ai

Meera Das

Vice President, AML Modeling, Data and Analytics - Capital One

Alexey Surkov

Risk & Financial Advisory Partner - Deloitte

Rachel Levanger

Director of Data Science - Fidelity National Financial

Alexander Statnikov

Head of Automation - Square

Mike Purewal

Director, Global Securities Lending - Bank of America

Tonet Santana

Global Product Development Head - Payments and Receivables Digital Client Solutions - Citi Bank

Priya Rajan

CMO - DataVisor

Ivan Puerta

Global Product Manager, Digital Payments - Citibank

Marta Lopata

Chief Growth Officer - Thinknum

Alexander Shin

Product Design Lead - Prudential Financial

Anand Sathiymurthy

Chief Product Officer - Flagstar

Priyank Srivastava

Sr. Director, Consulting and Analytics - Visa

Sally Du

Director - BlackRock

Amit Srivastav

Executive Director - Morgan Stanley

Vera Silver

Chief Information Officer - Bitvore

Marko Kangrga

Head of Data Science Innovation - RavenPack

Mike Schuster

Managing Director & Head of AI Core Team - Two Sigma

Shoaib Shaikh

Chief Data Scientist - Home Lending Pal

Mady Mantha

Head of Product Marketing - Rasa

Dr. Aitor Muguruza

Head of Quantitative Modelling and Data Analytics - Kaiju Capital Management

Ciamac Moallemi

Professor of Business - Columbia University

Chris Chib

Corporate VP of Sales - Iterate.ai

Vasant Dhar

Professor - New York University

Mike Booth

Senior Director of Sales - Tigergraph

Tom Rimmer

Strategic Sales Executive - Speechmatics

Ajit Agrawal

Managing Director - UBS

Assaf Zeevi

Professor - Columbia University

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TOPICS COVERED

We focus on the top use cases of AI. See below for a summary of the topics covered.

Finance Track
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
Join Us
Sessions

The Ai4 2022 Finance Summit welcomes 30+ speakers. We denote all content as either technical and non-technical so you don’t end up in the wrong place.

See All Speakers →

Networking

Enjoy many hours of built in networking time, 1:1 meeting scheduling, group discussions, a private networking & messaging app, and a few other fun surprises.

Explore Networking →

Sponsors

Get involved! Tell us your specific marketing needs and we’ll help you optimize your budget to make the biggest possible impact.

See All Sponsors →

I learned so much! Very excited to bring this knowledge back to my team.

Sarvani K., ML Engineer, Capital One

I really enjoyed meeting everyone at the conference. What a fabulous mix of executives and technologists you’ve convened!

Head of Stress Testing, TD Securities

I loved it! I gained a high-level perspective on how AI is impacting the industry. Can’t wait to come back next year.

VP, JPMorgan

I gained specific insights into how my peers and competitors are leveraging AI & ML. Great show!

VP & Senior AI Architect, Bank of America

After learning more, I’m confident that investing more resources into our AI projects will lead to big impacts both operationally and on the bottom line.

VP – Risk Functions Audit, Signature Bank

We found the Ai4 event to be professionally organized, well attended and with abundance of high-quality market leaders and speakers.

CEO, Lucena Research

The audience was amazing.

Marketing Director, Element AI

The Ai4 Finance conference was held amid the rise of automation, software and computer-driven “quant” funds. Several companies, private institutions, and researchers are interested in building a greater level of trust between humans & machines through transparency in artificial intelligence.

Wall Street Journal

It was a great conference, well worth it. I did some phenomenal networking. Really awesome stuff. I learned a lot.

SME, PureStorage
About Ai4

Ai4 is the organizer behind industry’s most impactful AI events. By gathering leaders of enterprise from across industry, government organizations, disruptive startups, investors, research labs, academia, associations, open source projects, media and analysts, we are creating the largest and most influential arena for idea-sharing, AI-related commerce, and technological progress.

Our mission is to help provide a common framework for what AI means to both enterprise and the future of our globe as we transition into a new era of responsible human-machine collaboration.