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      <title>Article: Beyond Relevance: A Governance-First Architecture for Enterprise Personalization</title>
      <link>https://www.infoq.com/articles/architecture-enterprise-personalization-relevance-governance/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Machine+Learning-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/architecture-enterprise-personalization-relevance-governance/en/headerimage/Beyond-Relevance-A-Governance-First-Architecture-for-Enterprise-Personalization-header-1789730126317.jpg"/&gt;&lt;p&gt;This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphasizes separating relevance from governance to ensure recommendations are context-aware, auditable, and compliant. The architecture integrates stateful memory, policy-driven AI orchestration, and explainable scoring to enhance personalization systems.&lt;/p&gt; &lt;i&gt;By Jerald Selvaraj&lt;/i&gt;</description>
      <category>Enterprise Architecture</category>
      <category>Rules Engines</category>
      <category>Large language models</category>
      <category>SQLite</category>
      <category>Machine Learning</category>
      <category>Routing</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 21 Sep 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Jerald Selvaraj</dc:creator>
      <dc:date>2026-09-21T11:00:00Z</dc:date>
      <dc:identifier>/articles/architecture-enterprise-personalization-relevance-governance/en</dc:identifier>
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