Over two days, the Ai4 Finance 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

Over two days, the Ai4 Finance 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 trie 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

Hear top use cases for AI in finance. Presentations range from high level insights to highly specific solutions. We focus on covering the industry’s most pressing problems through use cases from business execs and technical leaders who have solved them. See below for a diagram of topics covered.

2 DAYS                                 

Every major application of AI in finance will be covered.

40+ TALKS

Speakers from the world’s largest banks and from cutting edge startups will take stage.

2 TRACKS

Explore the specifics behind the model in a technical talk or the business implications in a non-technical talk.

20+ HOURS OF CONTENT

You’ll have plenty of choices to make sure you’re learning what you need.

Hear top use cases for AI in finance. Presentations range from high level insights to highly specific solutions. We focus on covering the industry’s most pressing problems through use cases from business execs and technical leaders who have solved them. See below for a diagram of topics covered.

2 DAYS 

Every major application of AI in finance will be covered.

40+ TALKS

Speakers from the world’s largest banks and from cutting edge startups will take stage.

2 TRACKS

Explore the specifics behind the model in a technical talk or the business implications in a non-technical talk.

20+ HOURS OF CONTENT

You’ll have plenty of choices to make sure you’re learning what you need.

This year, we’re offering two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track).

TRACK 1                             TRACK 2                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Scaling to Big Data
  • Model Interpretability
  • Data Privacy and Security
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Cloud v Local Environment
  • Unstructured Data
  • Deep Learning
  • Dealing with Legacy Systems
  • Reinforcement Learning
  • And More!

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Scoping Your Project
  • Automation vs Augmentation
  • Compliance & AI
  • Infrastructure Needs
  • Building vs Buying
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • ROI & Measuring Success
  • And More!

This year, we’re offering two distinct tracks that differentiate between technical and non-technical discussions. See below to determine which track best fits your interests and goals.

Both tracks will cover all topics listed above either from the perspective of the business exec (Business Track) or data practitioner (Data Track).

TRACK 1                            

DATA TRACK

This track was designed for our technical audience. You can expect a deep dive into the specifics of the machine learning models. Most talks during this track will be in a longer 50-minute format. Hear topics including:

  • Scaling to Big Data
  • Model Interpretability
  • Data Privacy and Security
  • Dealing with Biased Data Sets
  • Productionizing Your Model
  • Cloud v Local Environment
  • Unstructured Data
  • Deep Learning
  • Dealing with Legacy Systems
  • Reinforcement Learning
  • And More!

TRACK 2                            

BUSINESS TRACK

This track was designed for attendees holding non-technical and hybrid job functions seeking to understand the business value of specific AI projects. Most talks during this track will be in a 30-minute format. No technical expertise required. Hear topics including:

  • Understanding AI Capabilities
  • Top Use Cases For AI & ML
  • Scoping Your Project
  • Automation vs Augmentation
  • Compliance & AI
  • Infrastructure Needs
  • Building vs Buying
  • Pilot Programs & Proof of Concept
  • Building Your Data Science Team
  • ROI & Measuring Success
  • And More!

Make connections with people who can help. As attendance is by application only, we maintain low rates of service providers to reduce sales pitches and increase quality dialogue. Use our mobile networking app to connect with other conference attendees through 1:1 meeting scheduling. Click here to download the 2018 attendee list.

     1:1 MEETING SCHEDULING                             

      EXECUTIVE LEVEL CONNECTIONS                                    

2018 Included Attendees From…

Make connections with people who can help. As attendance is by application only, we maintain low rates of service providers to reduce sales pitches and increase quality dialogue. Use our mobile networking app to connect with other conference attendees through 1:1 meeting scheduling. Click here to download the 2018 attendee list.

 1:1 MEETING SCHEDULING

 EXECUTIVE CONNECTIONS

2018 Included Attendees From…

Ai4 Finance welcomes 40+ speakers over the two days. See below for a snapshot of our speaker lineup from last year.

null

Manuela Veloso

Head of AI Research, JP Morgan

Talk Title: Towards a Lasting Human-AI Interaction

null

Mike Schuster

Managing Director, Two Sigma

Talk Title: Thoughts on Machine Learning and AI in Finance

null

Li Deng

Chief AI Officer, Citadel

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

null

Agus Sudjianto

EVP & Head of Corporate Model Risk, Wells Fargo

Talk Title: Explainable AI

null

SriSatish Ambati

CEO & Co-Founder, H2O.ai

Opening Keynote

null

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?

null

Lisa Huang

Director of Quantitative Investing, Betterment (Formerly)

Talk Title: Personalized Investing Using Technology

null

Michael Galvin

Executive Director of Data Science Corporate Training, Metis

Talk Title: Infusing Data Science Capabilities Into An Organization

null

Scott Clark

Co-Founder & CEO, SigOpt

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

null

Eric La Scola

Product Marketing Manager for Dragon, Nuance

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

null

Charles Elkan

Managing Director & Global Head of Machine Learning, Goldman Sachs

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

null

Ralph Lafferty

Head of Financial Services/Trading, Orbital Insight

Talk Title: Alternative Data for Investing

null

Ambika Sukla

Executive Director - AI & Machine Learning, Morgan Stanley

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

null

Nicolas Chapados

Co-Founder & CSO, Element AI

Talk Title: Practical Applications of AI in Financial Services

null

Norman Niemer

Chief Data Scientist, UBS Asset Management

Talk Title: Effectively Combining Artificial and Human Intelligence

null

Prashanth Challa

Executive Director - Cybersecurity, Morgan Stanley

Talk Title: Cybersecurity and AI: Taking The Next Step

null

Erez Katz

CEO & Co-Founder, Lucena Research

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

null

Chiranjib Gupta

Head of Decision Science, Marcus by Goldman Sachs
null

Bayu Febriajie

Vice President - Innovation & Data Analytics, DBS Bank

Talk Title: Lessons Learned From Building Chatbots For Financial Services

null

Matt Greenwood

Chief Innovation Officer, Two Sigma Investments

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

null

Martin Caupin

Head of Analytics Lab - CIB Americas, BNP Paribas

Talk Title: Infusing Data Science Capabilities Into An Organization

null

Todd Morrill

Data Scientist - AI Accelerator, PwC

Talk Title: Lessons Learned From Building Chatbots For Financial Services

null

Andy Price

Finance Flashblade Sales Leader, Pure Storage

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

null

Shu-Wie Chen

Managing Director in Quantitative Analytics, Barclays

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

Ai4 Finance welcomes 40+ speakers over the two days. See below for a snapshot of our speaker lineup from last year.

Our first speaker announcement will be Q1 of 2019.

null

Manuela Veloso

Head of AI Research, JP Morgan

Talk Title: Towards a Lasting Human-AI Interaction

null

Mike Schuster

Managing Director, Two Sigma

Talk Title: Thoughts on Machine Learning and AI in Finance

null

Li Deng

Chief AI Officer, Citadel

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

null

Agus Sudjianto

EVP & Head of Corporate Model Risk, Wells Fargo

Talk Title: Explainable AI

null

SriSatish Ambati

CEO & Co-Founder, H2O.ai

Opening Keynote

null

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?

null

Lisa Huang

Director of Quantitative Investing, Betterment (Formerly)

Talk Title: Personalized Investing Using Technology

null

Charles Elkan

Managing Director & Global Head of Machine Learning, Goldman Sachs

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

null

Ralph Lafferty

Head of Financial Services/Trading, Orbital Insight

Talk Title: Alternative Data for Investing

null

Ambika Sukla

Executive Director - AI & Machine Learning, Morgan Stanley

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

null

Nicolas Chapados

Co-Founder & CSO, Element AI

Talk Title: Practical Applications of AI in Financial Services

null

Norman Niemer

Chief Data Scientist, UBS Asset Management

Talk Title: Effectively Combining Artificial and Human Intelligence

null

Prashanth Challa

Executive Director - Cybersecurity, Morgan Stanley

Talk Title: Cybersecurity and AI: Taking The Next Step

null

Erez Katz

CEO & Co-Founder, Lucena Research

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

null

Chiranjib Gupta

Head of Decision Science, Marcus by Goldman Sachs
null

Bayu Febriajie

Vice President - Innovation & Data Analytics, DBS Bank

Talk Title: Lessons Learned From Building Chatbots For Financial Services

null

Matt Greenwood

Chief Innovation Officer, Two Sigma Investments

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

null

Martin Caupin

Head of Analytics Lab - CIB Americas, BNP Paribas

Talk Title: Infusing Data Science Capabilities Into An Organization

Convene, 117 W 46th Street, New York, NY 10036

This brand new venue is located conveniently in Midtown West, featuring close proximity to major transpiration hubs, Times Square, and Rockefeller Center.

Convene, 117 W 46th Street, New York, NY 10036

This brand new venue is located conveniently in Midtown West, featuring close proximity to major transpiration hubs, Times Square, and Rockefeller Center.

About

Artificial intelligence could be the last invention that humankind needs to make. As such, we think it’s pretty important we get it right. In 2019, Ai4 conferences will educate 1500+ 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. Visit our homepage to learn about each of our conferences: Ai4 Finance, Ai4 Healthcare, Ai4 Cybersecurity, and Ai4 Retail.