GAIN ACTIONABLE INSIGHTS FROM INDUSTRY LEADERS

The Ai4 Finance Conference brings together business leaders, data practitioners, and AI pioneers who are applying artificial intelligence to solve today’s problems and create tomorrow’s opportunities. Thanks to the convergence of modern computing power and data science, the financial services industry is leveraging AI to create entirely new value.

Common AI applications for the financial services industry include cybersecurity, loan & insurance underwriting, chatbots, alternative data, algorithmic trading, robo-advisors, fraud detection, credit scoring, and compliance. Financial institutions are making use of artificial intelligence at every level, causing company-wide changes in internal operations, investment decisions, and consumer products.

The Ai4 Finance conference is designed to highlight the most valuable examples, delivering specific use cases and actionable insights. Ai4 is focused on answering one highly practical question: How can I enhance my business using AI today?

A New Kind of Conference

Finance Industry Specific

A conference built just for you

Practical Use Case Driven

Real insights that you can apply today

Half Day

Get back to your desk by the afternoon

Application Only

To ensure quality connections

Local Community Focused

Form lasting relationships

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

A New Kind of Conference

Finance Industry Specific

A conference built just for you

Application Only

To ensure quality connections

Practical Use Case Driven

Real insights that you can apply today

Half Day

Get back to your desk by the afternoon

Local Community Focused

Form lasting relationships

Curated 1:1 Meetings

Cut to the chase. Meet the right people.

what you'll learn

Our goal at Ai4 Finance is to provide a common framework for thinking about what AI means to the finance industry.

The illustration shows the AI use cases we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. For example, a retail bank can use AI to streamline the customer experience through the use of chatbots; a hedge fund can leverage artificial intelligence to improve algorithmic trading models to maximize returns; a lender can implement the technology to extend credit to a new demographic through the analysis of alternative data; and an investment bank can use AI to evaluate a company’s cyber health before an M&A activity.

Artificial intelligence has the ability to leverage a variety of datasets- including images, text, audio, video, structured data, unstructured data, and more. The modern use of AI is less about automating human roles and more about augmenting them.

Our goal at Ai4 Finance is to provide a common framework for thinking about what AI means to the finance industry.

The illustration shows the AI use cases we’ll cover at the conference, highlighting the full spectrum of ways you can implement artificial intelligence today. For example, a retail bank can use AI to streamline the customer experience through the use of chatbots; a hedge fund can leverage artificial intelligence to improve algorithmic trading models to maximize returns; a lender can implement the technology to extend credit to a new demographic through the analysis of alternative data; and an investment bank can use AI to evaluate a company’s cyber health before an M&A activity.

Artificial intelligence has the ability to leverage a variety of datasets- including images, text, audio, video, structured data, unstructured data, and more. The modern use of AI is less about automating human roles and more about augmenting them.

who should attend

Decision-makers from leading financial services companies who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs and best in class FinTech startups. All attendees must abide by Ai4’s code of conduct which can be found here.

Common Business Roles:

– VP, SVP, EVP

– MD, SMD

– Head of [X]

– Portfolio Manager

Common Technical Roles:

– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect

– Quant, DevOps, ML Engineer

– Tech Lead

Decision-makers from leading financial services companies who are seeking to improve their business using AI. A limited number of spots will be reserved for active VCs and best in class FinTech startups.

Common Business Roles:

– VP, SVP, EVP

– MD, SMD

– Head of [X]

– Portfolio Manager

 

 

Common Technical Roles:
– CTO, CAO, CDO, CIO

– Data Scientist, Data Architect

– Quant, DevOps, ML Engineer

– Tech Lead

Attending institutions include:

SPEAKERS

Follow this link to a google drive containing the speaker’s presentations. Please note that not all presentations will be made available due to compliance constraints.

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Manuela Veloso

Head of AI Research, JP Morgan

Talk Title: Towards a Lasting Human-AI Interaction

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Mike Schuster

Managing Director, Two Sigma

Talk Title: Thoughts on Machine Learning and AI in Finance

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Li Deng

Chief AI Officer, Citadel

Talk Title: From Modeling Speech and Language to Modeling Financial Markets

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Agus Sudjianto

EVP & Head of Corporate Model Risk, Wells Fargo

Talk Title: Explainable AI

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SriSatish Ambati

CEO & Co-Founder, H2O.ai

Opening Keynote

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Scott Bauguess

SEC Deputy Chief Economist & Deputy Director, Division of Economic & Risk Analysis

Talk Title: How Will AI Solve The ‘Hidden State’ Problem In Market Supervision?

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Lisa Huang

Director of Quantitative Investing, Betterment (Formerly)

Talk Title: Personalized Investing Using Technology

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Michael Galvin

Executive Director of Data Science Corporate Training, Metis

Talk Title: Infusing Data Science Capabilities Into An Organization

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Scott Clark

Co-Founder & CEO, SigOpt

Panel Title: Applying AI & ML to Finance: From Insights to Impact

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Eric La Scola

Product Marketing Manager for Dragon, Nuance

Talk Title: Accuracy and Efficiency: The Core of Your Financial Compliance Strategy

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Charles Elkan

Managing Director & Global Head of Machine Learning, Goldman Sachs

Talk Title: AI Applications: Present and Future, Hype and Reality

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Ralph Lafferty

Head of Financial Services/Trading, Orbital Insight

Talk Title: Alternative Data for Investing

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Ambika Sukla

Executive Director - AI & Machine Learning, Morgan Stanley

Talk Title: Past, Present and Future of AI in Finance

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Nicolas Chapados

Co-Founder & CSO, Element AI

Talk Title: Practical Applications of AI in Financial Services

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Norman Niemer

Chief Data Scientist, UBS Asset Management

Talk Title: Effectively Combining Artificial and Human Intelligence

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Prashanth Challa

Executive Director - Cybersecurity, Morgan Stanley

Talk Title: Cybersecurity and AI: Taking The Next Step

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Erez Katz

CEO & Co-Founder, Lucena Research

Talk Title: Application of Alternative Data and Convolutional Neural Networks for Forecasting Stock Prices

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Chiranjib Gupta

Head of Decision Science, Marcus by Goldman Sachs
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Bayu Febriajie

Vice President - Innovation & Data Analytics, DBS Bank

Talk Title: Lessons Learned From Building Chatbots For Financial Services

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Matt Greenwood

Chief Innovation Officer, Two Sigma Investments

Talk Title: Applying AI & ML To Finance: From Insights To Impact

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Martin Caupin

Head of Analytics Lab - CIB Americas, BNP Paribas

Talk Title: Infusing Data Science Capabilities Into An Organization

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Todd Morrill

Data Scientist - AI Accelerator, PwC

Talk Title: Lessons Learned From Building Chatbots For Financial Services

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Andy Price

Finance Flashblade Sales Leader, Pure Storage

Talk Title: Jumpstart Your AI Initiative- 10 Observations & Learnings From The Financial Services Frontline

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Shu-Wie Chen

Managing Director in Quantitative Analytics, Barclays

Talk Title: Lessons Learned (so far) Applying ML to Fraud Detection

what to expect

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Breakfast and Coffee

A hot breakfast and bagels will be available upon arrival. Coffee will be served throughout.
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Ballroom Stage

Hear from leaders of established financial institutions who oversaw the implementation of their AI processes. Learn from those who have already done it!
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Library Stage

Expect more content sessions on specific AI uses cases.
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Meetings

Be on the look out for an email from the Ai4 team as we facilitate short meetings to help foster AI adoption. The hotel also has many comfortable areas to take a meeting with someone you just met!

Agenda

Venue

The Williamsburg Hotel

The Williamsburg hotel is a brand new venue located in the heart of Williamsburg, Brooklyn. Ai4 Finance will take place in the Grand Ballroom as well as the Library.

96 Wythe Avenue, Brooklyn, NY 11249

Sponsors

Presenting

Gold Level

Silver Level

Exhibitor Level

About

With increasing data can come increasing confusion. Our goal at Ai4 is to bridge the knowledge gap by providing professionals and practitioners with the resources they need to make key business-shaping decisions in a rapidly changing world. Our organization began hosting technology focused events in 2016 with the launch of the bi-coastal event series Worlds Fair Nano. Through Worlds Fair Nano, and other technology focused events, we have connected 20,000 individuals to the future and counting.