在 Databricks 上原生构建 AI 驱动的应用程序.pdf

1、Building AI-Powered Apps Natively in DatabricksAndre Furlan Bueno&Coy McNew2025-06-12Forward-looking StatementThis presentation has been prepared for informational purposes only.The information set forth herein does not purport to be complete or contain all relevant information.Statements contained

2、herein are made as of the date of this presentation unless stated otherwise.This presentation and the accompanying oral commentary may contain forward-looking statements.In some cases,forward-looking statements can be identified by terms such as“may”,“will”,“should”,“expects”,“plans”,“anticipates”,“

3、could”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the negative of these words or other similar terms or expressions that concern Databricks expectations,strategy,plans,or intentions.Forward-looking statements are based on information available at the time those statements

4、 are made and are inherently subject to risks and uncertainties that could cause actual results to differ materially from those expressed in or suggested by the forward-looking statements.Forward-looking statements should not be read as a guarantee of future performance or outcomes.Except as require

5、d by law,Databricks does not undertake any obligation to publicly update or revise any forward-looking statement,whether as a result of new information,future developments or otherwise.3Databricks AppsSince Public Preview in Nov2420,000+20,000+Apps created1,500+1,500+Daily active customers8,000+8,00

6、0+Daily active appsDemocratizing data and AI happens through(secure and governed)applicationsNow GA!Bridgestone6Bridgestones Journey to AI Apps7Incremental progressKey TakeawaysDeploy apps for existing models,gain feedbackExperiment freely-keep successes,easily discard the restUtilize native platfor