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    <title>topic Announcement | Modernizing the Trade Lifecycle With Governed Data and AI in Announcements</title>
    <link>https://community.databricks.com/t5/announcements/announcement-modernizing-the-trade-lifecycle-with-governed-data/m-p/169308#M1083</link>
    <description>&lt;P&gt;&lt;SPAN&gt;Capital-markets firms are under pressure from growing data volumes, shorter settlement timelines, rising expectations for real-time insight, and AI initiatives moving from pilots into production. The durable advantage is not a model in isolation, it is connecting research, trading, risk, operations, and compliance on reliable, governed data.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;In this Q&amp;amp;A, Andrea DeSosa, Global Head of Capital Markets GTM at Databricks, shares a practical approach to modernizing the trade lifecycle around the decisions that matter most.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Key highlights&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Start with high-value decisions&lt;/STRONG&gt;&lt;SPAN&gt;: Ask where execution cost is diverging from expectations, how a rate or volatility shock could affect exposures, or which workflows have the highest exception and settlement-fail rates. The questions help define the data foundation needed to answer them.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Connect the lifecycle’s critical data&lt;/STRONG&gt;&lt;SPAN&gt;: Bring together orders, executions, positions, market and reference data, research, risk outputs, client information, settlement status, collateral, funding, and operational exceptions instead of creating another isolated workflow.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Use AI where governed context matters&lt;/STRONG&gt;&lt;SPAN&gt;: AI can help investigate exceptions, analyze execution quality, synthesize research, and surface potential surveillance issues when proprietary data is discoverable, reliable, permissioned, and traceable.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Make auditability part of the architecture&lt;/STRONG&gt;&lt;SPAN&gt;: Production workflows need visibility into data quality, entitlements, lineage, model and agent evaluation, decision records, and the investigation of exceptions, not just a model that produces an answer.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Modernize incrementally&lt;/STRONG&gt;&lt;SPAN&gt;: Firms do not need to replace every system at once. Start with one measurable workflow, establish reusable governed data and controls, prove the outcome, and expand across the lifecycle.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/blog/modernizing-trade-lifecycle-governed-data-and-ai?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_right:"&gt;👉&lt;/span&gt; Read the full post here &lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 21 Sep 2026 11:12:28 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-09-21T11:12:28Z</dc:date>
    <item>
      <title>Announcement | Modernizing the Trade Lifecycle With Governed Data and AI</title>
      <link>https://community.databricks.com/t5/announcements/announcement-modernizing-the-trade-lifecycle-with-governed-data/m-p/169308#M1083</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Capital-markets firms are under pressure from growing data volumes, shorter settlement timelines, rising expectations for real-time insight, and AI initiatives moving from pilots into production. The durable advantage is not a model in isolation, it is connecting research, trading, risk, operations, and compliance on reliable, governed data.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;In this Q&amp;amp;A, Andrea DeSosa, Global Head of Capital Markets GTM at Databricks, shares a practical approach to modernizing the trade lifecycle around the decisions that matter most.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Key highlights&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Start with high-value decisions&lt;/STRONG&gt;&lt;SPAN&gt;: Ask where execution cost is diverging from expectations, how a rate or volatility shock could affect exposures, or which workflows have the highest exception and settlement-fail rates. The questions help define the data foundation needed to answer them.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Connect the lifecycle’s critical data&lt;/STRONG&gt;&lt;SPAN&gt;: Bring together orders, executions, positions, market and reference data, research, risk outputs, client information, settlement status, collateral, funding, and operational exceptions instead of creating another isolated workflow.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Use AI where governed context matters&lt;/STRONG&gt;&lt;SPAN&gt;: AI can help investigate exceptions, analyze execution quality, synthesize research, and surface potential surveillance issues when proprietary data is discoverable, reliable, permissioned, and traceable.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Make auditability part of the architecture&lt;/STRONG&gt;&lt;SPAN&gt;: Production workflows need visibility into data quality, entitlements, lineage, model and agent evaluation, decision records, and the investigation of exceptions, not just a model that produces an answer.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;LI style="font-weight: 400;" aria-level="1"&gt;&lt;STRONG&gt;Modernize incrementally&lt;/STRONG&gt;&lt;SPAN&gt;: Firms do not need to replace every system at once. Start with one measurable workflow, establish reusable governed data and controls, prove the outcome, and expand across the lifecycle.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P class="p8i6j01 paragraph"&gt;&lt;A style="background-color: #ff3621; color: white; padding: 10px 20px; text-decoration: none; border-radius: 5px; font-weight: bold; display: inline-block;" href="https://www.databricks.com/blog/modernizing-trade-lifecycle-governed-data-and-ai?utm_source=bambu&amp;amp;utm_medium=social&amp;amp;utm_campaign=advocacy" target="_blank" rel="noopener"&gt; &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_right:"&gt;👉&lt;/span&gt; Read the full post here &lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 21 Sep 2026 11:12:28 GMT</pubDate>
      <guid>https://community.databricks.com/t5/announcements/announcement-modernizing-the-trade-lifecycle-with-governed-data/m-p/169308#M1083</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-09-21T11:12:28Z</dc:date>
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