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    <title>InfoQ - Adoption - Presentations</title>
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      <title>Presentation: Building Evals for AI Adoption: from Principles to Practice</title>
      <link>https://www.infoq.com/presentations/eval-ai-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Adoption-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/eval-ai-adoption/en/mediumimage/medium-1779185675202.jpeg"/&gt;&lt;p&gt;Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.&lt;/p&gt; &lt;i&gt;By Mallika Rao&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Adoption</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 29 May 2026 12:00:00 GMT</pubDate>
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      <dc:creator>Mallika Rao</dc:creator>
      <dc:date>2026-05-29T12:00:00Z</dc:date>
      <dc:identifier>/presentations/eval-ai-adoption/en</dc:identifier>
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