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      DTSTART:20260115T010000Z

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      DESCRIPTION:<DIV><P><B DATA-OLK-COPY-SOURCE="MessageBody">Description:&nbsp\;</B>In&nbsp\;this talk\,&nbsp\;<B>Xavier Zuvekas</B>&nbsp\;shares how AI systems are actually built and used in real organizations—where reliability\, efficiency\, and outcomes matter.</P><P><BR></P><P>Xavier brings experience building and deploying machine learning systems across industries\, working at the intersection of engineering and real-world operations. His focus is simple: building AI that removes friction and delivers measurable value.</P><P><BR></P><P>You’ll learn:</P><P><BR></P><P>- How real AI systems are structured in practice</P><P><BR></P><P>- What to build first when turning an idea into a working system</P><P><BR></P><P>- When a workflow is enough\, and when using an AI agent actually makes sense</P><P><BR></P><P>- Common mistakes that cause AI projects to stall or fail</P><P><BR></P><P>If you want to understand how AI goes from idea to something that actually works\, and hear from someone who builds these systems for real\, this talk is worth your time.</P></DIV>

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