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      <title>AI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance</title>
      <link>https://www.infoq.com/news/2026/10/ai-systems-production/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Data+Pipelines</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/ai-systems-production/en/headerimage/generatedHeaderImage-1792118181680.jpg"/&gt;&lt;p&gt;A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session emphasised a strategic approach to deployment and security management.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Continuous Integration</category>
      <category>Data Privacy</category>
      <category>Large language models</category>
      <category>Data Pipelines</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
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      <pubDate>Fri, 16 Oct 2026 14:14:00 GMT</pubDate>
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      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-10-16T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/10/ai-systems-production/en</dc:identifier>
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