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DESCRIPTION:Imagine effortlessly querying your structured data\, asking it complex questions\, and getting accurate answers that are tailored to your organization. In this session\, we will walk through how you can give context to your data through a machine learning engine. We’ll demonstrate how to make use of a novel natural-language-to-SQL generation process that leverages knowledge graphs and ontology to form a semantically correct SPARQL query. The results convert to SQL through a specialized virtualization layer. Building and scaling AI applications just became a lot easier.\n\nFeaturing: Vikas Jain\, Snowflake and Juan Sequeda\, data.world
X-ALT-DESC;FMTTYPE=text/html:Imagine effortlessly querying your structured data, asking it complex questions, and getting accurate answers that are tailored to your organization. In this session, we will walk through how you can give context to your data through a machine learning engine. We’ll demonstrate how to make use of a novel natural-language-to-SQL generation process that leverages knowledge graphs and ontology to form a semantically correct SPARQL query. The results convert to SQL through a specialized virtualization layer. Building and scaling AI applications just became a lot easier.<br><br><strong>Featuring</strong>: Vikas Jain, Snowflake and Juan Sequeda, data.world
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SUMMARY:The AI Context Engine™ for Your Snowflake Data
DTSTART;TZID=America/Los_Angeles:20240605T123000
DTEND;TZID=America/Los_Angeles:20240605T125000
DTSTAMP:20260404T054835Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:0
LOCATION:Snowflake Summit '24
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