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.

2 TRACKS

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

40+ TALKS

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

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…

45+ speakers from leading financial institutions, fintechs, and AI platforms will take stage over the two days to share their AI initiatives.

Below are confirmed speakers. Please note that in the event of a speaker cancellation, we will do our best to find a suitable replacement. Refunds will not be granted for speaker cancellations.

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Arvind Rajan

Managing Director - Head of Global and Macro, PGIM Fixed Income
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Yan-Zhu Wu

Senior Data Scientist, Credit Suisse
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Matthias Feiler

Head of Asset Allocation, LGT Capital Partners
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Che Guan

Principal Data Scientist, Raymond James
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Ruchi Gupta

VP - Credit Risk, HSBC
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SriSatish Ambati

CEO & Co-Founder, H2O.ai
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Richard Mathieson

Managing Director, BlackRock
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Thibaut Ajdler

Senior Quantitative Analyst, LGT Capital Partners
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Gordon Liu

EVP - US Head of Global Risk Analytics, HSBC
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Michael Grant

Director - Technical Consulting, Anaconda
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Zeeshan Ali

SVP - Head of Financial Services, Beyond Limits
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Scott Clark

Co-Founder & CEO, SigOpt
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James Bell

Head of AI & Machine Learning, Dow Jones
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Ziad Iskandar

Head of Digital Solutions , BNP Paribas
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Dr. Jordan Brandt

Cofounder, Inpher
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Tilky Xu

Vice President - Quant Research/Data Scientist, JPMorgan
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Michael Beal

CEO, Data Capital Management
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Jun Kim

Director - Finance Decision Science, American Express
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Mike Galvin

Executive Director - Corporate Training, Metis
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Yun Zheng

VP - Innovation Lead, HSBC
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David Robinson

Chief Data Scientist, DataCamp
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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.