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      <title>Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser</title>
      <link>https://www.infoq.com/presentations/local-ai-browser-inference-privacy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Web+Development-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/local-ai-browser-inference-privacy/en/mediumimage/james-hall-medium-1787813225372.jpeg"/&gt;&lt;p&gt;James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical approaches using WebGPU, Transformers.js, and DuckDB to achieve near-native performance in JavaScript. Through real-world case studies, he explains how to minimize data privacy risks, optimize browser inference, and build rigorous evaluation suites.&lt;/p&gt; &lt;i&gt;By James Hall&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Cloud Computing</category>
      <category>GPU</category>
      <category>QCon London 2026</category>
      <category>Privacy</category>
      <category>Web Browser</category>
      <category>Edge Computing</category>
      <category>Web Development</category>
      <category>Machine Learning</category>
      <category>Local Inference</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate>
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      <dc:creator>James Hall</dc:creator>
      <dc:date>2026-08-31T11:00:00Z</dc:date>
      <dc:identifier>/presentations/local-ai-browser-inference-privacy/en</dc:identifier>
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      <title>Presentation: From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved</title>
      <link>https://www.infoq.com/presentations/netflix-commerce-architecture-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Web+Development-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/netflix-commerce-architecture-evolution/en/mediumimage/kasia-trapszo-medium-1787217920531.jpg"/&gt;&lt;p&gt;Kasia Trapszo discusses how Netflix evolved its commerce platform from a U.S. DVD service into global infrastructure. She explains navigating international payment realities, adapting to strict regulatory mandates, decomposing monolithic architectures along domain boundaries, and re-architecting systems for massive live-event demand - proving great systems survive by continually evolving.&lt;/p&gt; &lt;i&gt;By Kasia Trapszo&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>Netflix</category>
      <category>payment</category>
      <category>Design Systems</category>
      <category>Technical Debt</category>
      <category>Distributed Systems</category>
      <category>QCon London 2026</category>
      <category>Microservices</category>
      <category>Performance &amp; Scalability</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 28 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/netflix-commerce-architecture-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Web+Development-presentations</guid>
      <dc:creator>Kasia Trapszo</dc:creator>
      <dc:date>2026-08-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/netflix-commerce-architecture-evolution/en</dc:identifier>
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