Waters Wavelength Podcast: Bloomberg’s Tony McManus

Tony McManus, global head of enterprise data division at Bloomberg, joins the podcast to talk about the importance of data in the context of AI and GenAI.

Wei-Shen Wong, Asia editor, and Anthony Malakian, editor-in-chief of WatersTechnology, record a weekly podcast touching on the biggest stories in financial technology.

 

To hear the full interview, listen in the player above, or you can click on the download button in the player above.

You can also listen to us on Spotify and Apple Podcasts

Tony McManus, global head of Bloomberg’s enterprise data division, joins the podcast this week. They discuss Bloomberg’s approach to AI and GenAI from a data perspective, getting the infrastructure and architecture right to leverage these technologies, and the skills necessary for graduates interested in joining Bloomberg.

5:30 – Tony McManus joins the podcast and gives an overview of his role

10:30 – How Tony keeps up with everything

14:00 – They discuss the biggest challenges from a data perspective

16:00 – What ‘data quality’ means

18:00 – Cloud’s role in evolving access to data

22:30 – Getting the foundations right

28:00 – How Bloomberg deals with point-in-time data

31:00 – The interconnectedness of data

36:30 – Skills and talent necessary for Bloomberg

 

Contact Info: 

As is the case with everything we do, we’d love to get some feedback from our listeners.

Wei-Shen Wong: + 852 3411 4758;  wei-shen.wong@infopro-digital.com

Anthony Malakian: + 1 646 490 3973; anthony.malakian@infopro-digital.com


Past 10 episodes:

Episode 274: The issue with corporate actions

Episode 275: Bill Murphy on getting the foundations right

Episode 276: Dos and don’ts for PR People, Part Four

Episode 277: BMO on market structure

Episode 278: Tim Baker on Cuip lawsuit, data copyrights, and innovation in market data

Episode 279: Looking into the EU regulatory landscape

Episode 280: An exploration of the DeFi world

Episode 281: Countdown to T+1

Episode 282: Broadridge’s Joseph Lo on GPTs

Episode 283: S&P’s CTO on AI, data, and the future of datacenters

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