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    <title>topic IoT Innovators: Predictive Maintenance Insights with Streaming Analytics in Streaming Analytics</title>
    <link>https://communities.sas.com/t5/Streaming-Analytics/IoT-Innovators-Predictive-Maintenance-Insights-with-Streaming/m-p/954017#M329</link>
    <description>&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?url=https%3A%2F%2Fplayers.brightcove.net%2F3665946608001%2Fdefault_default%2Findex.html%3FvideoId%3D6366108146112&amp;amp;type=text%2Fhtml&amp;amp;schema=brightcove&amp;amp;display_name=Brightcove&amp;amp;src=https%3A%2F%2Fplayers.brightcove.net%2F3665946608001%2Fdefault_default%2Findex.html%3FvideoId%3D6366108146112" width="200" height="112" scrolling="no" title="Brightcove embed" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;In the latest episode of&amp;nbsp;&lt;STRONG&gt;IoT Innovators&lt;/STRONG&gt;, host Brandon Kooman talks with experts Sanjeev Heda and Tom Stock about Predictive Maintenance (PdM), with a focus on Remaining Useful Life (RUL) prediction. They delve into how PdM sets itself apart from traditional methods, highlighting the crucial shift from reactive to proactive maintenance strategies.&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing" aria-hidden="true"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The conversation underscores the advantages of using&amp;nbsp;&lt;A href="https://www.sas.com/en_us/software/analytics-iot.html" target="_blank"&gt;&lt;STRONG&gt;SAS Analytics for IoT&lt;/STRONG&gt;&lt;/A&gt;&amp;nbsp;to enhance maintenance planning and optimize spare parts management. Through real-world examples from the transportation and manufacturing sectors, they demonstrate how PdM significantly boosts operational efficiency.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;Additionally, the experts tackle the challenges of implementing predictive maintenance strategies and explore the future of this field, driven by advancements in AI and machine learning.&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing" aria-hidden="true"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;Click&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://players.brightcove.net/3665946608001/default_default/index.html?videoId=6366108146112" target="_blank"&gt;&lt;STRONG&gt;here&lt;/STRONG&gt;&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;to watch the full episode!&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 18 Dec 2024 15:54:44 GMT</pubDate>
    <dc:creator>bkooman</dc:creator>
    <dc:date>2024-12-18T15:54:44Z</dc:date>
    <item>
      <title>IoT Innovators: Predictive Maintenance Insights with Streaming Analytics</title>
      <link>https://communities.sas.com/t5/Streaming-Analytics/IoT-Innovators-Predictive-Maintenance-Insights-with-Streaming/m-p/954017#M329</link>
      <description>&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?url=https%3A%2F%2Fplayers.brightcove.net%2F3665946608001%2Fdefault_default%2Findex.html%3FvideoId%3D6366108146112&amp;amp;type=text%2Fhtml&amp;amp;schema=brightcove&amp;amp;display_name=Brightcove&amp;amp;src=https%3A%2F%2Fplayers.brightcove.net%2F3665946608001%2Fdefault_default%2Findex.html%3FvideoId%3D6366108146112" width="200" height="112" scrolling="no" title="Brightcove embed" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;In the latest episode of&amp;nbsp;&lt;STRONG&gt;IoT Innovators&lt;/STRONG&gt;, host Brandon Kooman talks with experts Sanjeev Heda and Tom Stock about Predictive Maintenance (PdM), with a focus on Remaining Useful Life (RUL) prediction. They delve into how PdM sets itself apart from traditional methods, highlighting the crucial shift from reactive to proactive maintenance strategies.&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing" aria-hidden="true"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The conversation underscores the advantages of using&amp;nbsp;&lt;A href="https://www.sas.com/en_us/software/analytics-iot.html" target="_blank"&gt;&lt;STRONG&gt;SAS Analytics for IoT&lt;/STRONG&gt;&lt;/A&gt;&amp;nbsp;to enhance maintenance planning and optimize spare parts management. Through real-world examples from the transportation and manufacturing sectors, they demonstrate how PdM significantly boosts operational efficiency.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;Additionally, the experts tackle the challenges of implementing predictive maintenance strategies and explore the future of this field, driven by advancements in AI and machine learning.&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing" aria-hidden="true"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P class="noSpacingAbove noSpacingBelow" data-text-type="noSpacing"&gt;Click&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://players.brightcove.net/3665946608001/default_default/index.html?videoId=6366108146112" target="_blank"&gt;&lt;STRONG&gt;here&lt;/STRONG&gt;&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;to watch the full episode!&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Dec 2024 15:54:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Streaming-Analytics/IoT-Innovators-Predictive-Maintenance-Insights-with-Streaming/m-p/954017#M329</guid>
      <dc:creator>bkooman</dc:creator>
      <dc:date>2024-12-18T15:54:44Z</dc:date>
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