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      <title>Presentation: A Game of Patterns</title>
      <link>https://www.infoq.com/presentations/behavior-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+London+2024-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/behavior-patterns/en/mediumimage/tiani-jones-medium-1744709039644.jpg"/&gt;&lt;p&gt;Tiani Jones explains how recognizing organizational behaviors and their resulting patterns can reveal opportunities for improvement and lead to better performance. Using examples like chess and a cyber-physical team, she shares practical insights on identifying anti-patterns and fostering generative cultures through mindful adjustments to constraints and practices in software development.&lt;/p&gt; &lt;i&gt;By Tiani Jones&lt;/i&gt;</description>
      <category>Patterns</category>
      <category>QCon London 2024</category>
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      <category>presentation</category>
      <pubDate>Tue, 29 Apr 2025 11:29:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/behavior-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+London+2024-presentations</guid>
      <dc:creator>Tiani Jones</dc:creator>
      <dc:date>2025-04-29T11:29:00Z</dc:date>
      <dc:identifier>/presentations/behavior-patterns/en</dc:identifier>
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      <title>Presentation: Lessons &amp; Best Practices from Leading the Serverless First Journey at CapitalOne</title>
      <link>https://www.infoq.com/presentations/serverless-best-practices/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+London+2024-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/serverless-best-practices/en/mediumimage/george-mao-medium-1744707431353.jpg"/&gt;&lt;p&gt;George Mao explains Capital One's serverless-first approach, driven by efficiency and regulatory needs. He shares valuable lessons on CI/CD, concurrency, and cost management, along with actionable best practices for development (SDKs, runtimes), deployment (packaging, ARM), and observability for senior software developers and architects.&lt;/p&gt; &lt;i&gt;By George Mao&lt;/i&gt;</description>
      <category>Serverless</category>
      <category>Best Practices</category>
      <category>QCon London 2024</category>
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      <pubDate>Thu, 24 Apr 2025 12:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/serverless-best-practices/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+London+2024-presentations</guid>
      <dc:creator>George Mao</dc:creator>
      <dc:date>2025-04-24T12:43:00Z</dc:date>
      <dc:identifier>/presentations/serverless-best-practices/en</dc:identifier>
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      <title>Presentation: How Green is Green: LLMs to Understand Climate Disclosure at Scale</title>
      <link>https://www.infoq.com/presentations/rag-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+London+2024-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/rag-llm/en/mediumimage/leo-browning-medium-1741333444936.jpeg"/&gt;&lt;p&gt;Leo Browning explains the journey of developing a RAG system at a climate-focused startup. He shares insights on overcoming challenges in applying LLMs to a complex domain, focusing on accuracy, auditability, and scalability. He covers the evolution of search techniques, the role of human-in-the-loop workflows, and strategies for optimizing RAG systems for real-world financial applications.&lt;/p&gt; &lt;i&gt;By Leo Browning&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Climate Change</category>
      <category>Large language models</category>
      <category>QCon London 2024</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 22 Apr 2025 10:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rag-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+London+2024-presentations</guid>
      <dc:creator>Leo Browning</dc:creator>
      <dc:date>2025-04-22T10:07:00Z</dc:date>
      <dc:identifier>/presentations/rag-llm/en</dc:identifier>
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