AI 函数：在 SQL 中使用 AI.pdf

1、2024 Databricks Inc.All rights reservedDBSQL DBSQL AI FUNCTIONSAI FUNCTIONSJeremy LewallenJeremy LewallenLast updated June 2024Last updated June 20241This information is provided to outline Databricks general product direction and is for informational purposes only.Customers who purchase Databricks

2、services should make their purchase decisions relying solely upon services,features,and functions that are currently available.Unreleased features or functionality described in forward-looking statements are subject to change at Databricks discretion and may not be delivered as planned or at allProd

3、uct safe harbor statement2024 Databricks Inc.All rights reservedDemand:Demand:Analysts are eager to leverage ML for deeper insights,better analysis,and easier workflows.The Problem:The Problem:No easy,batch way to use ML across 1000s of rows.At best,requires 3P tools or other languages(ie.Python)3Th

4、e Next OpportunityThe Next Opportunity:Analysts WANT:Analysts WANT to use Machine Learning to use Machine Learning 2024 Databricks Inc.All rights reserved ReadyReady-toto-use models in SQL syntaxuse models in SQL syntax Use SOTA models Infrastructure,tuning,and fitting all created by Databricks ML E

5、ngineering and data scientists.ANDAND.Fully managed and out-of-the-boxGoal:Deliver access to AI that ANY analyst Goal:Deliver access to AI that ANY analyst can use regardless of AI skill levelcan use regardless of AI skill level4If they know SQL,then they should be able to use AI in DBSQLIf they kno

6、w SQL,then they should be able to use AI in DBSQL2024 Databricks Inc.All rights reservedTHE DETAILSTHE DETAILS-Range of out-of-the-box use cases-Expanding quarterly-Fully managed functions-Used by Databricks largest customersThe solution is DBSQL AI FunctionsThe solution is DBSQL AI FunctionsCustom