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Episode 284: Bloomberg’s Tony McManus

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Manage episode 418518827 series 1079955
内容由Waters Wavelength Podcast提供。所有播客内容(包括剧集、图形和播客描述)均由 Waters Wavelength Podcast 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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
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Artwork
icon分享
 
Manage episode 418518827 series 1079955
内容由Waters Wavelength Podcast提供。所有播客内容(包括剧集、图形和播客描述)均由 Waters Wavelength Podcast 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

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