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      <title>Presentation: The Five Stages of AI Maturity in Engineering Organizations - Where and Why Teams Get Stuck</title>
      <link>https://www.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Frameworks</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/en/mediumimage/LizzieMatusov-medium-1785314207748.jpeg"/&gt;&lt;p&gt;Quotient CEO Lizzie Matusov explains why soaring AI spend often fails to improve software delivery. She presents a research-backed AI maturity framework designed to help engineering leaders move beyond vanity metrics like token usage, align organizational AI adoption, and address critical bottlenecks across the software development life cycle to deliver measurable business outcomes.&lt;/p&gt; &lt;i&gt;By Lizzie Matusov&lt;/i&gt;</description>
      <category>Software Development Lifecycle</category>
      <category>QCon AI Boston 2026</category>
      <category>Productivity</category>
      <category>Metrics</category>
      <category>Software Engineering</category>
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      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 04 Aug 2026 16:00:00 GMT</pubDate>
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      <dc:creator>Lizzie Matusov</dc:creator>
      <dc:date>2026-08-04T16:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-sdlc-maturity-framework-bottlenecks/en</dc:identifier>
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