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      <title>Presentation: You Can't Trust Your AI Bill. And Neither Can I</title>
      <link>https://www.infoq.com/presentations/ai-cloud-cost-economics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-cloud-cost-economics/en/mediumimage/erik-peterson-medium-1791451373591.jpg"/&gt;&lt;p&gt;Erik Peterson discusses why AI spend is eclipsing cloud bills, triggering a major software engineering cost crisis. He explains tokenmaxxing, unit economics, forced developer promotions, and why fully autonomous AI will write, deploy, and govern code by 2028.&lt;/p&gt; &lt;i&gt;By Erik Peterson&lt;/i&gt;</description>
      <category>FinOps</category>
      <category>Cost Optimization</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Productivity</category>
      <category>Cloud Computing</category>
      <category>Generative AI</category>
      <category>QCon AI Boston 2026</category>
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      <pubDate>Mon, 12 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-cloud-cost-economics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-presentations</guid>
      <dc:creator>Erik Peterson</dc:creator>
      <dc:date>2026-10-12T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-cloud-cost-economics/en</dc:identifier>
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      <title>Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform</title>
      <link>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spotify-multi-agent-ai-architecture/en/mediumimage/pratik-rasam-medium-1790847111671.jpeg"/&gt;&lt;p&gt;Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural patterns, domain ownership models, deterministic guardrails, and tracing-based evaluation strategies, detailing hard-learned lessons on drawing agent boundaries, optimizing tool schemas, and managing costs while avoiding monolithic agent pitfalls.&lt;/p&gt; &lt;i&gt;By Pratik Rasam&lt;/i&gt;</description>
      <category>Performance Evaluation</category>
      <category>Agents</category>
      <category>Prompt Engineering</category>
      <category>Patterns</category>
      <category>Transcripts</category>
      <category>AI Architecture</category>
      <category>Generative AI</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 08 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-presentations</guid>
      <dc:creator>Pratik Rasam</dc:creator>
      <dc:date>2026-10-08T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spotify-multi-agent-ai-architecture/en</dc:identifier>
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    <item>
      <title>Presentation: Building GenAI Platform at DoorDash</title>
      <link>https://www.infoq.com/presentations/doordash-genai-platform-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/doordash-genai-platform-architecture/en/mediumimage/SiddharthKodwaniSwaroopChitlur-medium-1790246592519.jpg"/&gt;&lt;p&gt;Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal users.&lt;/p&gt; &lt;i&gt;By Siddharth Kodwani, Swaroop Chitlur&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Large language models</category>
      <category>Infrastructure</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>Generative AI</category>
      <category>Developer Experience</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Sat, 03 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/doordash-genai-platform-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Generative+AI-presentations</guid>
      <dc:creator>Siddharth Kodwani, Swaroop Chitlur</dc:creator>
      <dc:date>2026-10-03T11:00:00Z</dc:date>
      <dc:identifier>/presentations/doordash-genai-platform-architecture/en</dc:identifier>
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