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    <title>InfoQ - AI, ML &amp; Data Engineering - Presentations</title>
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    <description>InfoQ AI, ML &amp; Data Engineering Presentations feed</description>
    <item>
      <title>Presentation: The Next Generation of AI Products</title>
      <link>https://www.infoq.com/presentations/ai-products/?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-products/en/mediumimage/hilary-mason-medium-1776947360498.jpeg"/&gt;&lt;p&gt;Hilary Mason shares her journey from academia to building AI products at scale.  She discusses the shift from discrete engineering to probabilistic mindsets, explaining why managing "human considerations" is the hardest part of the stack.  She explains the "existential crisis" for engineers, arguing that great architecture today is about context management, systems thinking, and good taste.&lt;/p&gt; &lt;i&gt;By Hilary Mason&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>Innovation</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 01 May 2026 09:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-products/?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>Hilary Mason</dc:creator>
      <dc:date>2026-05-01T09:23:00Z</dc:date>
      <dc:identifier>/presentations/ai-products/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Stripe’s Docdb: How Zero-Downtime Data Movement Powers Trillion-Dollar Payment Processing</title>
      <link>https://www.infoq.com/presentations/docdb-online-database/?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/docdb-online-database/en/mediumimage/jimmy-morzaria-medium-1776864724742.jpeg"/&gt;&lt;p&gt;Jimmy Morzaria discusses the evolution of Stripe’s database tier to support 5 million QPS with 5.5 nines of reliability. He explains the architecture of DocDB and shares how Stripe leverages a custom zero-downtime data movement platform to perform horizontal sharding, version upgrades, and multi-tenant migrations - all while maintaining the strict consistency required for global commerce.&lt;/p&gt; &lt;i&gt;By Jimmy Morzaria&lt;/i&gt;</description>
      <category>Database</category>
      <category>Transcripts</category>
      <category>migration</category>
      <category>MongoDB</category>
      <category>QCon San Francisco 2025</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 30 Apr 2026 09:52:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/docdb-online-database/?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>Jimmy Morzaria</dc:creator>
      <dc:date>2026-04-30T09:52:00Z</dc:date>
      <dc:identifier>/presentations/docdb-online-database/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Agents, Architecture, &amp; Amnesia: Becoming AI-Native Without Losing Our Minds</title>
      <link>https://www.infoq.com/presentations/ai-autonomy-continuum/?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-autonomy-continuum/en/mediumimage/tracy-bannon-medium-1776946730433.jpeg"/&gt;&lt;p&gt;Tracy Bannon shares a cautionary tale of "The Sorcerer’s Apprentice" to illustrate the risks of unbridled AI autonomy. She discusses the shift from bots to autonomous agents, explaining how reckless speed leads to "Architectural Amnesia." She provides a concrete framework for "Minimum Viable Governance," focusing on identity, delegation, and ADRs to manage debt at machine speed across the SDLC.&lt;/p&gt; &lt;i&gt;By Tracy Bannon&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Software Development</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>Keynote</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 29 Apr 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-autonomy-continuum/?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>Tracy Bannon</dc:creator>
      <dc:date>2026-04-29T14:15:00Z</dc:date>
      <dc:identifier>/presentations/ai-autonomy-continuum/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: AI-Powered SRE for Autonomous Incident Response</title>
      <link>https://www.infoq.com/presentations/ai-sre-incident-response/?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-sre-incident-response/en/mediumimage/infoq-live-medium-1777368469045.jpg"/&gt;&lt;p&gt;The presenters discuss incident response, how AI-enhanced SRE platforms connect signals from logs, metrics, traces, and historical incidents to enable autonomous decisions.&lt;/p&gt; &lt;i&gt;By Rohit Dhawan, Pavan Madduri, Alina Astapovich, Goutham Rao, Renato Losio&lt;/i&gt;</description>
      <category>Site Reliability Engineering</category>
      <category>Artificial Intelligence</category>
      <category>InfoQ Live - April 2026</category>
      <category>Incident Response</category>
      <category>Transcripts</category>
      <category>Virtual Panel</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 28 Apr 2026 11:21:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-sre-incident-response/?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>Rohit Dhawan, Pavan Madduri, Alina Astapovich, Goutham Rao, Renato Losio</dc:creator>
      <dc:date>2026-04-28T11:21:00Z</dc:date>
      <dc:identifier>/presentations/ai-sre-incident-response/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Deepfakes, Disinformation, and AI Content are Taking over the Internet</title>
      <link>https://www.infoq.com/presentations/deepfakes-ai/?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/deepfakes-ai/en/mediumimage/shuman-ghosemajumder-medium-1776248048343.jpeg"/&gt;&lt;p&gt;Shuman Ghosemajumder explains how generative AI has transformed from a creative curiosity into a high-scale tool for disinformation and fraud. He shares insights on "Disinformation Automation," the fallacy of CAPTCHA in an AI world, and why engineering leaders must adopt zero-trust "cyber fusion" strategies to defend against automated attacks that mimic human behavior with chilling accuracy.&lt;/p&gt; &lt;i&gt;By Shuman Ghosemajumder&lt;/i&gt;</description>
      <category>Best Practices</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 24 Apr 2026 09:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/deepfakes-ai/?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>Shuman Ghosemajumder</dc:creator>
      <dc:date>2026-04-24T09:55:00Z</dc:date>
      <dc:identifier>/presentations/deepfakes-ai/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash</title>
      <link>https://www.infoq.com/presentations/llm-personalization/?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/llm-personalization/en/mediumimage/Sudeep-Das-Pradeep-Muthukrishnan-medium-1776173227456.jpg"/&gt;&lt;p&gt;Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.&lt;/p&gt; &lt;i&gt;By Sudeep Das, Pradeep Muthukrishnan&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Use Cases</category>
      <category>QCon San Francisco 2025</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 21 Apr 2026 10:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/llm-personalization/?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>Sudeep Das, Pradeep Muthukrishnan</dc:creator>
      <dc:date>2026-04-21T10:35:00Z</dc:date>
      <dc:identifier>/presentations/llm-personalization/en</dc:identifier>
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