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Episode 284: Bloomberg’s Tony McManus

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Indhold leveret af Waters Wavelength Podcast. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Waters Wavelength Podcast eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

302 episoder

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Manage episode 418518827 series 1079955
Indhold leveret af Waters Wavelength Podcast. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Waters Wavelength Podcast eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.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

302 episoder

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