{"id":3297,"date":"2024-04-04T14:33:00","date_gmt":"2024-04-04T14:33:00","guid":{"rendered":"https:\/\/digiterrebestg.wpengine.com\/?p=3297"},"modified":"2024-12-04T11:05:04","modified_gmt":"2024-12-04T11:05:04","slug":"ai-theory-to-reality-fs-tech-leaders","status":"publish","type":"post","link":"https:\/\/www.digiterre.com\/us\/2024\/04\/04\/ai-theory-to-reality-fs-tech-leaders\/","title":{"rendered":"AI Theory to Reality: FS Tech Leaders"},"content":{"rendered":"
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AI Theory to Reality: FS Tech Leaders<\/h1>\n\n \n <\/div>\n<\/section>\n\n\n
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In 2023, GenAI burst into life amid speculation about its use. Despite the hype, firms quietly explored practical applications and assessed the potential benefits, risks, and challenges, especially in highly regulated environments.<\/p>\n\n\n\n

\u2018AI Theory to Reality \u2013 FS Tech Leader<\/strong>s\u2019<\/h2>\n\n\n\n

In this episode, we spoke with Simon Rohrer, Head of Enterprise Technology Architecture and Ways of Working at Saxo Bank, and Daniel Taylor, Head of Development at Trading Labs <\/strong>about their current thinking around AI use in a financial services setting.<\/p>\n\n\n\n

This panel discussion was moderated by Digiterre\u2019s CTO, Rajesh Jethwa, addressing key questions including:<\/p>\n\n\n\n

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  • How are organizations preparing data for AI models?<\/li>\n\n\n\n
  • Is there a noticeable gap between AI hype and actual usage?<\/li>\n\n\n\n
  • How much of the potential seen externally is being realized internally?<\/li>\n\n\n\n
  • What obstacles are there to widespread adoption?<\/li>\n\n\n\n
  • How are security and data privacy concerns being managed?<\/li>\n<\/ul>\n\n\n\n

    Watch the full recording below:<\/p>\n\n\n\n

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