Waters Wavelength Podcast Episode 86: Nasdaq’s Use of Machine Learning & T+2 Comes to North America

- By Anthony Malakian, James Rundle and Emilia David
- 08 Sep 2017

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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

2:30 Joakim first talks about how Nasdaq is using machine learning to surveil its Nordic marketplace.

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.

T+2

14:00 What were the roadblocks keeping T+2 from being a reality in the US?

15:30 Why was this transition so difficult?

18:15 How long until T+1? T+0?!

Misc.

23:30 TV shows you should start watching today.