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.
08:30 – 09:00 Registration and Welcome Coffee
09:00 – 09:20 Welcome / Opening Remarks
09:20 – 09:45 Opening Key Note – Introduction to AI / ML – Dispel Myths and Set Expectations
09:45 – 10:45 Discussion – Introduction to AI / ML – Dispel Myths and Set Expectations
10:45 – 11:15 Coffee Break
11:15 – 11:30 Intro – Business Applications & Opportunities
11:30 – 12:30 Discussion – Business Applications & Opportunities
12:30 – 13:30 Lunch
13:30 – 13:45 Intro – Limitations in Deploying Artificial Intelligence
13:45 – 14:45 Discussion – Limitations in Deploying Artificial Intelligence
14:45 – 15:15 Coffee Break
15:15 – 15:30 Intro – Ethical & People Considerations
15:30 – 16:30 Discussion – Ethical & People Considerations
16:30 – 17:00 Closing Key Note – Looking to the Future
17:00 – 17:05 Thanks and Close
17:05 – 18:00 Cocktails