Our 2019 Audience Included:

Our 2019 Audience Included:

what we do

Over two days, the Finance Track at the Ai4 2020 Conference brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technologies.

With a use-case oriented approach to content, our goal is to deliver actionable insights from those working on the frontlines of AI in the enterprise. We try to 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

  APPLICATION ONLY

 FINANCE SPECIFIC

  USE CASE DRIVEN

what we do

Over two days, the Finance Track at the Ai4 2020 Conference brings together business leaders and data practitioners to facilitate the adoption of artificial intelligence and machine learning technologies.

With a use-case oriented approach to content, our goal is to deliver actionable insights from those working on the frontlines of AI in the enterprise. We try to 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

2019 speakers

Over two days, the Finance Track at Ai4 2020 will welcome 30+ speakers from top banks, hedge funds, credit card companies, insurance companies, and fintechs. All of our speakers are actively involved in artificial intelligence and machine learning projects.

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Arvind Rajan

Managing Director - Head of Global and Macro, PGIM Fixed Income
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Wendy Callaghan

Chief Innovation Legal Officer, AIG
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Chris Kovel

MD & Head of Intelligence and Data Analytics Tech for Wealth Management, Morgan Stanley
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Salah Khawaja

Managing Director - Automation/Global Risk, Bank of America
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Wayne Shoumaker

SVP, Quantitative Analytics Manager, Wells Fargo
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Richard Mathieson

Managing Director, BlackRock
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Tilky Xu

Vice President - Quant Research/Data Scientist, JPMorgan
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Roderick Powell

SVP and Head of Model Risk Management, Ameris Bank
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Gordon Liu

EVP - US Head of Global Risk Analytics, HSBC
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Derek Singh

SVP, Quant Modeling Treasury, US Bank
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Yan-Zhu Wu

Senior Data Scientist, Credit Suisse
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Jun Kim

Director - Finance Decision Science, American Express

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don't miss updates and announcements!

join us

Sessions

The Finance Track at Ai4 2020 welcomes 30+ speakers over the two days. We denote all content as either technical and non-technical so you don’t end up in the wrong place. Explore our eight content tracks now!

Networking

Enjoy over 10+ hours of built in networking time, 1:1 meeting scheduling, group discussions, round table lunches, a private networking & messaging app, and our special after-hours dinners and cocktail.

Sponsors

Get involved! Tell us your specific marketing needs and we’ll help you optimize your budget to make the biggest possible impact at Ai4. Ask about booths, meetings, branding, digital offerings, and more.

“The Ai4 Finance conference was held amid the rise of automation. Several companies are interested in building a greater level of trust between humans and machines.”

“The Ai4 Finance conference was held amid the rise of automation. Several companies are interested in building a greater level of trust between humans and machines.”

2019 sponsors & exhibitors

2019 sponsors

About US

Ai4 was founded in 2018 with the goal of providing a common framework for understanding for what AI means to each industry.

Across our 2018 and 2019 conferences, including Ai4 Finance, Ai4 Healthcare, Ai4 Retail and Ai4 Cybersecurity, we have educated over 2000 top executives & data practitioners at the world’s largest companies about how they can responsibly leverage AI today.

Confusion is still commonplace when discussing AI for the enterprise, from basic definitions all the way to implementation. Through our conferences and content, we aim to provide a common understanding for what AI means to the enterprise.