Panel discussion: Big Data, Advanced Analytics, AI/ML

Digital technologies are set to change the generation and exchange of information on which financial markets base their decisions. Advanced analytics will become increasingly valuable for regulators. A core benefit of SupTech is the ability to identify trends and predict problems before they occur.  

Can AI and Machine Learning (ML) be used to offer financial regulators greater intelligence around trends? 

In this panel, Prof. Dr. Iman Van Lelyveld, Head of the Data Science Hub of De Nederlandsche Bank (DNB) sit together with Dr. Kimmo Soramäki, Founder and CEO of FNA to share some real use cases of AI, ML and advanced analytics amongst supervisory agencies. You will hear: 

• DNB’s data-driven applications of AI and ML for prudential supervision. 
• FNA’s big data and advanced analytics use cases for payments data and loans data. 
• A discussion around whether regulators rely on a siloed solution or a more integrated and holistic approach in the SupTech space to scale analytics.

Speakers

As a supervisory community, in the past we have tried to share use cases and descriptions of projects [...] sharing PowerPoints of our projects, but that doesn't really give you information on the nitty gritty of your project. So we're trying to work on ways to exchange codes instead of PowerPoints. But this requires an infrastructure.

Prof. Dr. Iman Van Lelyveld, Head of the Data Science Hub of De Nederlandsche Bank (DNB) 

We are not yet at that full maturity of SupTech. We are very much in the early stages. We need to have both approaches of rapid experimentation, maybe siloed experimentation, then also a more strategic, larger programs to consolidate it into more coherent whole.

Dr. Kimmo Soramäki, Founder and CEO of FNA