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Episode 284: Bloomberg’s Tony McManus

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Manage episode 418518827 series 1079955
Content provided by Waters Wavelength Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Waters Wavelength Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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
  continue reading

285 episodes

Artwork
iconShare
 
Manage episode 418518827 series 1079955
Content provided by Waters Wavelength Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Waters Wavelength Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
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
  continue reading

285 episodes

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