02 May 2019

Artificial Intelligence and Machine Learning in the Financial Industry

New York City

The advent of digital technologies such as automation and computerised systems has changed our environment substantially by providing enormous amounts of data. Artificial intelligence (AI) and machine learning (ML) provide us with the capabilities of making the most of this new digital era. Apart from the public perception of science fiction-like applications of AI/ML such as robots, there are a lot of practical applications with the aim of reducing costs, increasing benefits, optimising resources and improving the accuracy of decisions. These aims can be achieved in a wide range of business functions across the financial industry, resulting in increased productivity and a far more personalised offering to customers.

There are, however, many practical and ethical considerations that need to be taken into account before implementing AI/ML within an organisation. Do you have enough data, and is it the right kind of data? Are there legal or regulatory restrictions concerning the data? Can you trust (and explain) the results derived from AI/ML applications? What is the impact on individual roles within an organisation, and employment levels generally?

This one day conference aims to explore these and other considerations. The SWIFT Institute, in partnership with Cornell University, will define what AI/ML are, and what they are not. We will look at how AI/ML are being used today across the financial industry as well as other industries that we can learn from. And we will explore the opportunities for further implementation of AI/ML, as the financial industry continues to innovate and evolve.

  • Introduction to AI – Dispel Myths / Set Expectations
  • Business Applications & Opportunities
  • Limitations in Deploying Artificial Intelligence
  • Ethical & People Considerations

Taking place on Thursday 2nd May 2019 at Convene at 237 Park Avenue in New York City, this conference is free to attend, and aimed at financial industry practitioners involved in AI/ML as well as those looking to improve the performance and productivity of their department or organisation. You will hear from experts in academia and from technology organisations as well as from those within the financial industry itself.

The event is FREE of CHARGE, though you must be registered to attend.

Register here

Agenda

08:30 – 09:00 Registration and Welcome Coffee

09:00 – 09:20 Welcome / Opening Remarks

Yawar Shah, Chairman of SWIFT Board
Soumitra Dutta, SC Johnson College of Business, Cornell University

09:20 – 09:45 Opening Key Note – Introduction to AI / ML – Dispel Myths and Set Expectations

Kartik Hosanagar, Wharton School, University of Pennsylvania

09:45 – 10:45 Discussion – Introduction to AI / ML – Dispel Myths and Set Expectations

Soumitra Dutta, SC Johnson College of Business, Cornell University
Kartik Hosanagar, Wharton School, University of Pennsylvania
Drew Hodun, Google Cloud

11:15 – 11:30 Intro – Business Applications & Opportunities

Paige Dickie, Vector Institute for AI

11:30 – 12:30 Discussion – Business Applications & Opportunities

Bruce Weber, Lerner College, University of Delaware
Claudia Perlich, Two Sigma
Paige Dickie, Vector Institute for AI

12:30 – 13:30 Lunch

13:30 – 13:45 Intro – Limitations in Deploying Artificial Intelligence

TBC

13:45 – 14:45 Discussion – Limitations in Deploying Artificial Intelligence

Julien Blanchez, SWIFT
Robert Goodman, Federal Reserve Bank of New York
K.P. (Suba) Subbalakshmi, Stevens Institute of Technology

15:15 – 15:30 Intro – Ethical & People Considerations

Alexandra Olteanu, Microsoft Research US & Canada

15:30 – 16:30 Discussion – Ethical & People Considerations

Katherine Gorman, CollectiveNext
Alex London, Carnegie Mellon University
Alexandra Olteanu, Microsoft Research US & Canada

16:30 – 17:00 Closing Key Note – Looking to the Future

Vasant Dhar, New York University

17:00 – 17:05 Thanks and Close

Peter Ware, SWIFT Institute

17:05 – 18:00 Cocktails

 

02 May 2019
New York City

Venue:

Convene
237 Park Avenue
New York, New York 10017


Partners:
Cornell University

Register