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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 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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