Waters Wavelength Podcast Episode 91: Sibos Preview; M&A Activity; Blockchain's Evolution

James and Anthony talk about the looming Sibos event in Toronto and take a look at some recent M&A activity and blockchain developments in the capital markets.

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 gives a preview of his trip to Toronto to cover Sibos. Then, he and Anthony look first at some recent M&A activity in the compliance/AI space, and then look at how some fully-live blockchain projects are finally starting to trickle into the market. Finally, Anthony—a lifelong fan of the Houston Astros—rants about why fans of the New York Yankees are the absolute worst. 

2:00 A preview of the WatersTechnology Innovation Summit, which is on November 15—not November 28—like Anthony said on the podcast. 
3:45 James previews his Sibos trip.
6:00 A look at M&A in the capital markets and, specifically, for regulation and compliance
16:15 Is blockchain finally maturing with real, fully-live implementations
19:30 Anthony explains why the Yankees suck.
 


Contact Info

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 or James via Twitter or email.

Anthony: @a_malakian; [email protected]

James: @JimRundle; [email protected]

 

Past 10 episodes:

Episode 81: Fintechs in the Regulatory Crosshairs & Brexit Fallouts

Episode 82: An Examination of ESG & What's New With Reg SCI

Episode 83: Systematic Internalizers & RegTech

Episode 84: Quantum Computing & IBOR/Blockchain

Episode 85: Cybersecurity & Dos/Don'ts for PRs

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

Episode 87: Disaster Recovery & Initial Margin Rules

Episode 88: CBOE's Bryan Harkins, SEC Hack, Esma Proposal

Episode 89: JPMorgan's Oliver Harris on Fintechs; T2S Developments

Episode 90: CCOs Talk About AI, Cyber Threats & Real-Time Monitoring

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