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  <title>AI Theory to Reality</title>

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  <description><![CDATA[<p>2023 heralded the entrance of AI into our everyday vocabulary. But how will it work within highly regulated enterprise settings?<br><br></p><p>Listen in as we talk with the business IT leaders and industry influencers from across the energy and commodities trading and financial services sectors, about their current thinking, practical implementation considerations and challenges for the future.</p>]]></description>
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    <itunes:title>AI Theory to Reality: FS Tech Leaders</itunes:title>
    <title>AI Theory to Reality: FS Tech Leaders</title>
    <itunes:summary><![CDATA[Join us as we speak with two prominent leaders from the financial services sector about their current thinking around AI use in a financial services setting: Simon Rohrer, Head of Enterprise Technology Architecture and Ways of Working at Saxo BankDaniel Taylor, Head of Development at Trading Labs This panel discussion moderated by Digiterre’s CTO, Rajesh Jethwa, addresses key questions about AI models, usage, obstacles in widespread adoption, and how security and data privacy concerns ar...]]></itunes:summary>
    <description><![CDATA[<p>Join us as we speak with two prominent leaders from the financial services sector about their current thinking around AI use in a financial services setting:</p><ul><li>Simon Rohrer, Head of Enterprise Technology Architecture and Ways of Working at Saxo Bank</li><li>Daniel Taylor, Head of Development at Trading Labs<b> </b></li></ul><p>This panel discussion moderated by Digiterre’s CTO, Rajesh Jethwa, addresses key questions about AI models, usage, obstacles in widespread adoption, and how security and data privacy concerns are being managed</p>]]></description>
    <content:encoded><![CDATA[<p>Join us as we speak with two prominent leaders from the financial services sector about their current thinking around AI use in a financial services setting:</p><ul><li>Simon Rohrer, Head of Enterprise Technology Architecture and Ways of Working at Saxo Bank</li><li>Daniel Taylor, Head of Development at Trading Labs<b> </b></li></ul><p>This panel discussion moderated by Digiterre’s CTO, Rajesh Jethwa, addresses key questions about AI models, usage, obstacles in widespread adoption, and how security and data privacy concerns are being managed</p>]]></content:encoded>
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    <itunes:title>AI Theory to Reality: Energy Tech Leaders</itunes:title>
    <title>AI Theory to Reality: Energy Tech Leaders</title>
    <itunes:summary><![CDATA[We speak with business leaders from two of the largest energy trading companies in the world, as they work to make sense of this brand new technology: Cuan Brown, Head of Group Trading IT - SEFE Marketing and Trading LtdMark Leonard, Head of IT - Drax Group.This 45 minute panel discussion moderated by Digiterre's CTO, Rajesh Jethwa provides a chance to hear about the approaches and current thinking, successes and failures since the large language models and gen AI became part of the lexicon i...]]></itunes:summary>
    <description><![CDATA[<p>We speak with business leaders from two of the largest energy trading companies in the world, as they work to make sense of this brand new technology:</p><ul><li>Cuan Brown, Head of Group Trading IT - SEFE Marketing and Trading Ltd</li><li>Mark Leonard, Head of IT - Drax Group.</li></ul><p>This 45 minute panel discussion moderated by Digiterre&apos;s CTO, Rajesh Jethwa provides a chance to hear about the approaches and current thinking, successes and failures since the large language models and gen AI became part of the lexicon in early 2023.</p>]]></description>
    <content:encoded><![CDATA[<p>We speak with business leaders from two of the largest energy trading companies in the world, as they work to make sense of this brand new technology:</p><ul><li>Cuan Brown, Head of Group Trading IT - SEFE Marketing and Trading Ltd</li><li>Mark Leonard, Head of IT - Drax Group.</li></ul><p>This 45 minute panel discussion moderated by Digiterre&apos;s CTO, Rajesh Jethwa provides a chance to hear about the approaches and current thinking, successes and failures since the large language models and gen AI became part of the lexicon in early 2023.</p>]]></content:encoded>
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