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DTSTART:20261101T010000
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DESCRIPTION:What if you could ask questions of your enterprise data using AI — and get answers grounded in trusted business context?\n\nJoin us for a practical Fivetran Masterclass where we'll show you how to build a RAG (Retrieval-Augmented Generation) application using Fivetran and BigQuery.\n\nLed by Fivetran technical expert David Hrncir\, we'll walk through the architecture and bring it to life with a live demo\, showing how trusted enterprise data can become the foundation for powerful AI applications.\n\nYou'll learn how to:\n\n• Connect and centralize enterprise data in BigQuery with Fivetran\n• Prepare trusted data and business context for use in RAG and AI applications\n• Build and see a RAG application in action\, allowing you to ask real business questions of your data\n\nWhether you're already exploring GenAI or just getting started\, you'll leave with a practical understanding of how to turn the data you already have into a foundation for enterprise AI.
X-ALT-DESC;FMTTYPE=text/html:<strong>What if you could ask questions of your enterprise data using AI — and get answers grounded in trusted business context?<br /></strong><br />Join us for a practical Fivetran Masterclass where we'll show you how to build a RAG (Retrieval-Augmented Generation) application using Fivetran and BigQuery.<br><br>Led by Fivetran technical expert David Hrncir, we'll walk through the architecture and bring it to life with a live demo, showing how trusted enterprise data can become the foundation for powerful AI applications.<br><br><strong>You'll learn how to:</strong><br /><ul data-w-id="b07e3aec-65c0-1558-f7e0-91aa1f20f52a" data-wf-id="[" data-automation-id="dyn-item-event-details-input"><li data-w-id="b07e3aec-65c0-1558-f7e0-91aa1f20f53e" data-wf-id="[" data-automation-id="dyn-item-event-details-input">Connect and centralize enterprise data in <strong>BigQuery with Fivetran</strong></li><li data-w-id="b07e3aec-65c0-1558-f7e0-91aa1f20f542" data-wf-id="[" data-automation-id="dyn-item-event-details-input">Prepare trusted data and business context for use in <strong>RAG and AI applications</strong></li><li data-w-id="b07e3aec-65c0-1558-f7e0-91aa1f20f546" data-wf-id="[" data-automation-id="dyn-item-event-details-input">Build and see a <strong>RAG application in action</strong>, allowing you to ask real business questions of your data</li></ul>Whether you're already exploring GenAI or just getting started, you'll leave with a practical understanding of how to turn the data you already have into a foundation for enterprise AI.
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SUMMARY:Masterclass for RAG in BigQuery
DTSTART;TZID=America/New_York:20261001T120000
DTEND;TZID=America/New_York:20261001T124500
DTSTAMP:20260929T184638Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:0
LOCATION:https://meet.google.com/vgq-znbb-pst
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