Central Banks and supervisory authorities have made various efforts to implement supervisory technology. But, despite the presence of innovation labs and other internal working groups, many of these initiatives face challenges getting off the ground because of skill gaps and limited bandwidth.

What is the shift in their approach to SupTech adoption? How is digital transformation happening in the supervisory world? How can greater alignment of SupTech and RegTech contribute to the future of regulation?

 

Speakers

So many of the experimentation developments were on the data analytics part. Then a couple of years back, there was a realization that data analytics solutions need good data to achieve their potential. The focus of supervisory authorities shifted towards developing data collection solutions. And now what we are observing is that the interest seems to be in having the seamless supervisory processes.

Jermy Prenio, Principal Advisor at BIS

I think that the more realistic approach that many authorities are doing is indeed doing a stepwise approach.

Simone di Castri, Co-head of the Cambridge SupTech Lab

Watch the panel discussion

You might also be interested in

  • SupTech is changing the way regulators interact with industry

    Insight

    SupTech is changing the way regulators interact with industry

    Regnology's Joanne Horgan and Raymond Hee talk to Regulation Asia about SupTech trends, implementation challenges, and how regulators are changing the way they work.

    Read more
  • Panel discussion: The future of supervision

    Insight

    Panel discussion: The future of supervision

    Digital transformation is set to change the generation and exchange of information on which financial markets base their decisions. What are the strategies to adopt for a more responsive financial regulation?

    Read more
  • Panel discussion: Big Data, Advanced Analytics, AI/ML

    Insight

    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? 

    Read more

Contact us