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.
Online registration is now closed. You can still register On site.
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 – 10:30 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
11:00 – 11:15 Intro – Business Applications & Opportunities
Paige Dickie, Vector Institute for AI
11:15 – 12:15 Discussion – Business Applications & Opportunities
Bruce Weber, Lerner College, University of Delaware
Claudia Perlich, Two Sigma
Paige Dickie, Vector Institute for AI
Ragavan Thurairatnam, University of Toronto and co-founder and Chief of Machine Learning, Dessa
12:15 – 13:30 Lunch
13:30 – 13:45 Intro – Limitations in Deploying Artificial Intelligence
K.P. (Suba) Subbalakshmi, Stevens Institute of Technology
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
Aaron Klein, Brookings Institution
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