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      <title>Presentation: Reimagining Platform Engagement with Graph Neural Networks</title>
      <link>https://www.infoq.com/presentations/graph-neural-networks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/graph-neural-networks/en/mediumimage/Mariia-Bulycheva-medium-1775048997053.jpeg"/&gt;&lt;p&gt;Mariia Bulycheva discusses the transition from classic deep learning to GNNs for Zalando's landing page. She explains the complexities of converting user logs into heterogeneous graphs, the "message passing" training process, and the technical pitfalls of graph data leakage. She shares how a hybrid architecture solved inference latency, delivering contextual embeddings to a downstream model.&lt;/p&gt; &lt;i&gt;By Mariia Bulycheva&lt;/i&gt;</description>
      <category>Graph Database</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Neural Networks</category>
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      <category>Machine Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 13 Apr 2026 13:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/graph-neural-networks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</guid>
      <dc:creator>Mariia Bulycheva</dc:creator>
      <dc:date>2026-04-13T13:23:00Z</dc:date>
      <dc:identifier>/presentations/graph-neural-networks/en</dc:identifier>
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      <title>Presentation: Choosing Your AI Copilot: Maximizing Developer Productivity</title>
      <link>https://www.infoq.com/presentations/ai-coding-agents-copilot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-coding-agents-copilot/en/mediumimage/medium-1775046920020.jpg"/&gt;&lt;p&gt;Sepehr Khosravi discusses the current state of AI-assisted coding, moving beyond basic autocompletion to sophisticated agentic workflows. He explains the technical nuances of Cursor’s "Composer" and Claude Code’s research capabilities, providing tips for managing context windows and MCP integrations. He shares lessons from industry leaders on shrinking process time beyond just writing code.&lt;/p&gt; &lt;i&gt;By Sepehr Khosravi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 09 Apr 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-coding-agents-copilot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</guid>
      <dc:creator>Sepehr Khosravi</dc:creator>
      <dc:date>2026-04-09T12:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-coding-agents-copilot/en</dc:identifier>
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      <title>Presentation: State of Play: AI Coding Assistants</title>
      <link>https://www.infoq.com/presentations/ai-coding-assistants/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-coding-assistants/en/mediumimage/birgitta-bockeler-medium-1775631877853.jpg"/&gt;&lt;p&gt;Birgitta Böckeler discusses the rapid evolution of AI agents, moving beyond "vibe coding" to sophisticated context engineering. She explains how architectural constraints and "harness engineering" create the safety nets required for autonomous code generation. She shares vital insights for leaders on balancing speed with maintainability, security risks, and the cost of AI autonomy.&lt;/p&gt; &lt;i&gt;By Birgitta Böckeler&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 08 Apr 2026 08:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-coding-assistants/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</guid>
      <dc:creator>Birgitta Böckeler</dc:creator>
      <dc:date>2026-04-08T08:34:00Z</dc:date>
      <dc:identifier>/presentations/ai-coding-assistants/en</dc:identifier>
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      <title>Presentation: When Every Bit Counts: How Valkey Rebuilt Its Hashtable for Modern Hardware</title>
      <link>https://www.infoq.com/presentations/hashtable-modern-hardware/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/hashtable-modern-hardware/en/mediumimage/Madelyn-Olson-medium-1775046180324.jpeg"/&gt;&lt;p&gt;Madelyn Olson discusses the evolution of Valkey's data structures, moving away from "textbook" pointer-chasing HashMaps to more cache-aware designs. She explains the implementation of "Swedish" tables to maximize memory density. She shares insights on systems intuition, memory prefetching, and the rigorous testing needed for mission-critical caches.&lt;/p&gt; &lt;i&gt;By Madelyn Olson&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Hardware</category>
      <category>Case Study</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 07 Apr 2026 13:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/hashtable-modern-hardware/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI%2C+ML+%26+Data+Engineering-presentations</guid>
      <dc:creator>Madelyn Olson</dc:creator>
      <dc:date>2026-04-07T13:40:00Z</dc:date>
      <dc:identifier>/presentations/hashtable-modern-hardware/en</dc:identifier>
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