ML AND Big data

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.

Nasdaq & Machine Learning
2:30 Joakim first talks about how Nasdaq is using machine learning to surveil its Nordic marketplace. 
http://www.waterstechnology.com/exchanges-trading-venues/3420051/nasdaq-boosts-surveillance-with-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.

T+2
14:00 What were the roadblocks keeping T+2 from being a reality in the US?
http://www.waterstechnology.com/industry-issues-initiatives/3414776/settling-down-how-the-us-finally-embraced-t2 

15:30 Why was this transition so difficult?
http://www.waterstechnology.com/industry-issues-initiatives/3419486/t2-settlement-begins-in-us-markets

18:15 How long until T+1? T+0?!
http://www.waterstechnology.com/industry-issues-initiatives/3417141/blockchain-not-yet-ready-to-power-t0-settlement 

23:30 TV shows you should start watching today.

ML AND Big data

Karan Sachdeva