Waters Wavelength Podcast Episode 59: Gabriel Woo, VP of Innovation at RBC
Dan and Gabriel talk about AI initiatives at the Canadian bank. Later, Dan, James and Anthony discuss the LSE-Deutsche Börse merger debacle.
Dan invites Gabriel Woo, VP of innovation at RBC, onto the podcast to discuss some of the recent announcements the Canadian bank has made about artificial intelligence (2:45). Later on, Dan and Anthony welcome on former WatersTechnology editor and current Risk.net writer James Rundle to discuss the recent breakdown in the London Stock Exchange-Deutsche Börse merger (25:30). The guys wrap things up discussing soccer and the success James’ beloved Chelsea is enjoying this season (34:10).
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Links to articles discussed:
RBC invests in machine learning through partnership with the University of Toronto
London Stock Exchange-Deutsche Börse Merger Suffers Potentially Terminal Setback
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 Dan via Twitter or email.
Anthony: @a_malakian; Anthony.Malakian@incisivemedia.com
Dan: @dandefrancesco; Dan.DeFrancesco@incisivemedia.com
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Past episodes:
Episode 1: Bloomberg Terminals, Work Force Issues
Episode 2: Blockchain, StatPro-Investor Analytics Merger
Episode 3: Dark Pools, SEC, Enterprise Risk
Episode 4: Flash Crash, MiFID II, Blockchain on the Buy Side, DMMs
Episode 5: Waters Wavelength Podcast Episode 5: Linux Vulnerability, Bitcoin vs. Blockchain
Episode 6: FBI vs. Apple, LSE-Deutsche Börse Merger
Episode 7: Machine Learning, Climbing the Corporate Ladder
Episode 8: Consolidation of Risk Platforms, Open Source
Episode 9: Cyber Risk North America, Deutsche Börse-LSE Deal
Episode 10: Markit-IHS Merger, FIA Boca
Episode 11: Future of Exchanges, Bussmann Departure, Apple-FBI Closure
Episode 12: Open Source, Reg AT, Panama Papers
Episode 13: TruMid, Innovation Labs
Episode 14: NATAS, Sell-Side Technology Awards
Episode 15: Consolidated Audit Trail
Episode 16: Sifma Ops, Nasdaq, Fixed Income
Episode 17: Regulatory Landscape, Fixed Income, Blockchain
Episode 18: Dos and Don'ts for PR People
Episode 19: BNP's Growth Plans, Buy Side KYC
Episode 20: CAT, Unbundling Research, June Features
Episode 21: Toronto Information and Tech Summit, Fintech Regulation
Episode 22: Blackstone CTO Bill Murphy
Episode 23: Brexit, Fintech Innovation Lab, TSAM
Episode 24: Blockchain Adoption with Richard Johnson, Greenwich Associates
Episode 25: Buy Side KYC, User Experience
Episode 26: Wei-Shen Wong, Waters Hong Kong Reporter, Talks Fintech in Asia
Episode 27: Trading Turrets, Sifma's CAT Comment Letter
Episode 28: Larry Malakian (aka, Tony Malakian's Dad)
Episode 29: LedgerX's Paul Chou and Zach Dexter Talk Bitfinex Hack
Episode 30: Northern Trust's Vijay Luthra Talks Disrupting Data Centers
Episode 31: HFT Debates, RBC's Head of Tech and Ops, PTFs
Episode 32: Seed CX CEO Edward Woodford, State of SEFs
Episode 34: CurveGlobal CEO Andy Ross
Episode 35: September Features with Emilia David
Episode 36: Thomson Reuters-Redi Deal, Chicago Trading Technology Summit
Episode 37: CBOE-Bats Deal, Machine Learning for Social Media
Episode 38: Bruno Campenon, BNP Paribas Securities Services
Episode 39: Blockchain Features
Episode 40: North American Buy-Side Technology Summit
Episode 41: BNY Mellon CIO Suresh Kumar
Episode 42: US Treasuries Platforms, Bats CIO, Accenture Blockchain
Episode 43: US Presidential Election Recap, Reg AT
Episode 44: Fintech vs Regtech
Episode 45: Incubators, Thanksgiving Traditions
Episode 46: Creators of Julia Programming Language
Episode 47: Virtual Reality, Insider Trading
Episode 48: Max Bowie, Editor of Inside Data Management
Episode 49: Victor Anderson, Waters Editor-in-Chief
Episode 50: Dos and Don'ts for PR People, Part Two
Episode 51: Nasdaq CEO Adena Friedman
Episode 52: Regulation and Trump
Episode 53: CAT Decision, Reg AT, Natural Language Processing
Episode 54: Future of VR/AR with Sean Belka of Fidelity Labs
Episode 55: All Things Mifid II
Episode 56: Cybersecurity, Vendor Partnership
Episode 57: Artificial Intelligence and Humans — A Complicated Mix
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