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    <title>article Agent Bricks | A Pilot to Production Series - Manufacturing in Databricks TV</title>
    <link>https://community.databricks.com/t5/databricks-tv/agent-bricks-a-pilot-to-production-series-manufacturing/ba-p/156903</link>
    <description>&lt;P&gt;&lt;STRONG&gt;Manufacturing &lt;/STRONG&gt;&lt;SPAN&gt;moves too fast for &lt;/SPAN&gt;&lt;STRONG&gt;generic AI. &lt;/STRONG&gt;&lt;SPAN&gt;In this episode, see how specialized AI agents built on &lt;/SPAN&gt;&lt;STRONG&gt;Agent Bricks&lt;/STRONG&gt;&lt;SPAN&gt; help manufacturers improve planning, forecasting, logistics, and quality at scale.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;The impact:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Planning &amp;amp; inventory: &lt;/STRONG&gt;&lt;SPAN&gt;Manufacturers cut planning time from days to minutes and use real-time data from &lt;/SPAN&gt;&lt;STRONG&gt;18,000+ assets &lt;/STRONG&gt;&lt;SPAN&gt;to optimize &lt;/SPAN&gt;&lt;STRONG&gt;$1B+&lt;/STRONG&gt;&lt;SPAN&gt; in spare parts inventory.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Forecasting: &lt;/STRONG&gt;&lt;SPAN&gt;What-if simulations now run in &lt;/SPAN&gt;&lt;STRONG&gt;45 minutes instead of 48 hours&lt;/STRONG&gt;&lt;SPAN&gt;, giving teams the visibility to act before disruptions happen.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Logistics &amp;amp; sourcing: &lt;/STRONG&gt;&lt;SPAN&gt;Teams &lt;/SPAN&gt;&lt;STRONG&gt;model routing, tariff, and currency &lt;/STRONG&gt;&lt;SPAN&gt;scenarios in real time to reduce material costs and improve resilience.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Defect detection: &lt;/STRONG&gt;&lt;SPAN&gt;Low-latency, image-based alerts help operators catch issues early and prevent millions of dollars in losses across plants.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Watch now on DatabricksTV:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;div class="video-embed-center video-embed"&gt;&lt;iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FHbn5H0rFOmE%3Ffeature%3Doembed&amp;amp;display_name=YouTube&amp;amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DHbn5H0rFOmE&amp;amp;image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FHbn5H0rFOmE%2Fhqdefault.jpg&amp;amp;type=text%2Fhtml&amp;amp;schema=youtube" width="600" height="337" scrolling="no" title="AI Agents for Manufacturing" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 14 May 2026 11:24:41 GMT</pubDate>
    <dc:creator>Tushar_Parekar</dc:creator>
    <dc:date>2026-05-14T11:24:41Z</dc:date>
    <item>
      <title>Agent Bricks | A Pilot to Production Series - Manufacturing</title>
      <link>https://community.databricks.com/t5/databricks-tv/agent-bricks-a-pilot-to-production-series-manufacturing/ba-p/156903</link>
      <description>&lt;P&gt;&lt;STRONG&gt;Manufacturing &lt;/STRONG&gt;&lt;SPAN&gt;moves too fast for &lt;/SPAN&gt;&lt;STRONG&gt;generic AI. &lt;/STRONG&gt;&lt;SPAN&gt;In this episode, see how specialized AI agents built on &lt;/SPAN&gt;&lt;STRONG&gt;Agent Bricks&lt;/STRONG&gt;&lt;SPAN&gt; help manufacturers improve planning, forecasting, logistics, and quality at scale.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;The impact:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Planning &amp;amp; inventory: &lt;/STRONG&gt;&lt;SPAN&gt;Manufacturers cut planning time from days to minutes and use real-time data from &lt;/SPAN&gt;&lt;STRONG&gt;18,000+ assets &lt;/STRONG&gt;&lt;SPAN&gt;to optimize &lt;/SPAN&gt;&lt;STRONG&gt;$1B+&lt;/STRONG&gt;&lt;SPAN&gt; in spare parts inventory.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Forecasting: &lt;/STRONG&gt;&lt;SPAN&gt;What-if simulations now run in &lt;/SPAN&gt;&lt;STRONG&gt;45 minutes instead of 48 hours&lt;/STRONG&gt;&lt;SPAN&gt;, giving teams the visibility to act before disruptions happen.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Logistics &amp;amp; sourcing: &lt;/STRONG&gt;&lt;SPAN&gt;Teams &lt;/SPAN&gt;&lt;STRONG&gt;model routing, tariff, and currency &lt;/STRONG&gt;&lt;SPAN&gt;scenarios in real time to reduce material costs and improve resilience.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;UL&gt;
&lt;LI aria-level="1"&gt;&lt;STRONG&gt;Defect detection: &lt;/STRONG&gt;&lt;SPAN&gt;Low-latency, image-based alerts help operators catch issues early and prevent millions of dollars in losses across plants.&lt;/SPAN&gt;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;LI-WRAPPER&gt;&lt;/LI-WRAPPER&gt;&lt;/P&gt;
&lt;P&gt;&lt;FONT size="4"&gt;&lt;STRONG&gt;Watch now on DatabricksTV:&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;div class="video-embed-center video-embed"&gt;&lt;iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FHbn5H0rFOmE%3Ffeature%3Doembed&amp;amp;display_name=YouTube&amp;amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DHbn5H0rFOmE&amp;amp;image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FHbn5H0rFOmE%2Fhqdefault.jpg&amp;amp;type=text%2Fhtml&amp;amp;schema=youtube" width="600" height="337" scrolling="no" title="AI Agents for Manufacturing" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 14 May 2026 11:24:41 GMT</pubDate>
      <guid>https://community.databricks.com/t5/databricks-tv/agent-bricks-a-pilot-to-production-series-manufacturing/ba-p/156903</guid>
      <dc:creator>Tushar_Parekar</dc:creator>
      <dc:date>2026-05-14T11:24:41Z</dc:date>
    </item>
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