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      <title>Challenges and Solutions for Building Machine Learning Systems</title>
      <link>https://www.infoq.com/news/2024/05/build-machine-learning-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=NorDevCon</link>
      <description>&lt;img src="https://res.infoq.com/news/2024/05/build-machine-learning-systems/en/headerimage/generatedHeaderImage-1715155738740.jpg"/&gt;&lt;p&gt;According to Camilla Montonen, the challenges of building machine learning systems are mostly creating and maintaining the model. MLOps platforms and solutions contain components needed to build machine systems. MLOps is not about the tools; it is a culture and a set of practices. Montonen suggests that we should bridge the divide between practices of data science and machine learning engineering.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Data Science</category>
      <category>Collaboration</category>
      <category>NorDevCon</category>
      <category>Machine Learning</category>
      <category>MLOps</category>
      <category>Agile Conferences</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Thu, 09 May 2024 11:03:00 GMT</pubDate>
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      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2024-05-09T11:03:00Z</dc:date>
      <dc:identifier>/news/2024/05/build-machine-learning-systems/en</dc:identifier>
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