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    <loc>https://blog.vexplor.com/post/ai-replaces-five-percent-of-work</loc>
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        <news:name>VEXPLOR 기술 블로그</news:name>
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      <news:publication_date>2026-10-10T07:12:19.459Z</news:publication_date>
      <news:title>노벨상 경제학자는 왜 AI가 10년 동안 대신할 일을 5%로 보는가</news:title>
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    <loc>https://blog.vexplor.com/post/vexplor-hands-factory-judgment-to-ai</loc>
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      <news:publication>
        <news:name>VEXPLOR 기술 블로그</news:name>
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      <news:publication_date>2026-10-09T15:34:28.055Z</news:publication_date>
      <news:title>웨이스는 VEXPLOR로 공장의 판단을 공정 하나씩 어떻게 AI에게 넘기려 하는가</news:title>
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  <url>
    <loc>https://blog.vexplor.com/post/car-makers-go-dark-process-by-process</loc>
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      <news:publication>
        <news:name>VEXPLOR 기술 블로그</news:name>
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      <news:publication_date>2026-10-09T15:34:27.705Z</news:publication_date>
      <news:title>자동차 회사들은 어느 공정부터 사람 없이 가동하고 있나</news:title>
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  <url>
    <loc>https://blog.vexplor.com/post/where-vexplor-keeps-supplier-factory-data</loc>
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      <news:publication>
        <news:name>VEXPLOR 기술 블로그</news:name>
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      <news:publication_date>2026-10-08T21:57:16.659Z</news:publication_date>
      <news:title>웨이스는 대기업 협력사 공장에 VEXPLOR를 구축할 때 공장 데이터를 어디에 두는가</news:title>
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  <url>
    <loc>https://blog.vexplor.com/post/supplier-ax-decide-before-data</loc>
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      <news:publication>
        <news:name>VEXPLOR 기술 블로그</news:name>
        <news:language>ko</news:language>
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      <news:publication_date>2026-10-08T21:57:16.372Z</news:publication_date>
      <news:title>대기업은 협력사 데이터를 받기 전에 무엇을 정해야 협력사 AI 전환이 시범사업에서 멈추지 않는가</news:title>
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