Anthony Malakian, US editor of Waters, and James Rundle, news editor of Waters, record a weekly podcast touching on the biggest stories in financial technology.
On the podcast, James first interviews Joakim Strid, head of European surveillance at Nasdaq, about how the exchange is incorporating machine learning into its surveillance program. They then discuss how AI is set to change surveillance as a whole in the years to come. After that interview, Emilia David, US reporter for Waters, joins James and Anthony to discuss how T+2 came about in the United States. Then finish things up by discussing must-watch TV for the fall now that Game of Thrones is over. [Editor's note: We apologize for the sound quality on Joakim's interview; he was in Chicago and had to call in. It's worth listening to, though, because the material is very interesting and informative.]
Nasdaq & Machine Learning
5:15 He then looks at how the machine-learning algorithms work.
7:30 Why are machine-learning techniques useful when compared to existing techniques?
8:45 Joakim explains the genesis of the project.
10:45 Finally, he looks at what the possible future of machine learning holds for the surveillance sector.
23:30 TV shows you should start watching today.
As is the case with everything we do, we'd love to get some feedback from our listeners. Feel free to reach out to Anthony via Twitter or email.
Past 10 episodes:
Jesse Lund talks about real uses for DLT in the capital markets, lessons learned while rolling out IBM's blockchain platform, and what’s ahead for 2018, and into 2019.Subscribe to Weekly Wrap emails