Artificial Intelligence & The Future of Risk Management
PRMIA Netherlands presents an event on Artificial Intelligence & The Future of Risk Management.
Date:
October 30, 2019
Time:
6:00 p.m. - 9:00 p.m.
Location:
ING Head Office, PR Centrum
Bijlmerplein 888
1102 MG
Amsterdam Zuid-Oost
The next decade will likely see an explosion in technological advancement, as use of Artificial
Intelligence becomes more widespread. What will be the impacts of these new technologies on the
future of risk management? New technology represents an opportunity to improve efficiency and
quality in the Risk division, for example through more efficient processes, better detection capabilities,
better data, and better analytics. It also represents a challenge, given the need to manage the risks,
threats and unintended consequences.
In this meeting, our speakers will discuss the key challenges of this transition. Taking the recent DNB
report on AI as a starting point - https://bit.ly/2ozzvYK - we will consider the governance and risk management challenges a
firm must address, as well as some of the practical challenges and opportunities.
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Time |
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Event |
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6:00 p.m. - 6:30 p.m. |
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Registration and Refreshments |
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6:30 p.m. - 8:00 p.m. |
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Presentations and Questions |
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8:00 p.m. - 9:00 p.m. |
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Drinks Reception
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Speakers
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Joost van der Burgt is a Senior Policy Advisor on Fintech and Artificial intelligence at De
Nederlandsche Bank. He also represents DNB in the Basel Committee’s Taskforce on Financial
Technology and in the European Joint Committee’s Working Group on Artificial Intelligence. Before he
joined DNB in August 2015, Joost worked in the Strategy and Risk analysis department at the Dutch
Financial Markets Authority (AFM) for four years, where he also focused on fintech and the
implications of technological innovation for the financial sector.
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Jos Gheerardyn is the CEO and co-founder of Yields.io. He has built a FinTech platform that uses AI
for real-time model testing and validation on an enterprise-wide scale. Prior to his current role he has
been active in quantitative finance both as a manager and as an analyst. He is the author of multiple
patents applying quantitative risk management techniques to imbalance markets. Jos holds a PhD in
superstring theory from the University of Leuven (Belgium).
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Vaidotas Kurlianskas is a Data Science manager at ING Netherlands. His work focuses in delivering data products in business to help customers unlock the value of data. Currently his team is working on customer interaction and experience, experimentation, and machine learning. Prior to this, he has worked in financial markets as a trader and a quant, after completing his studies in mathematics.
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This event is FREE for members and non-members, although registration is required. Click "Register Myself" below to reserve your spot. Make sure to click "Continue" to proceed with your registration. (If this is your first time accessing the PRMIA website you will need to create a short user profile to register.) Support chapter events like this by becoming a member.