Petrobras 利用 MLflow 和 Databricks 实现 MLOps 转型.pdf

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1、Forward-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 herein are made as of the date of this presentation unless stated otherwise.This pres

2、entation 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”,“could”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the neg

3、ative 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 are made and are inherently subject to risks and uncertainties that could cause actu

4、al 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 required by law,Databricks does not undertake any obligation to publicly update or revise an

5、y forward-looking statement,whether as a result of new information,future developments or otherwise.2Petrobras MLOpsTransformation With MLflow and DatabricksBruno Guberfain do Amaral PetrobrasLuiz Carrossoni Neto-DatabricksJune 2025IntroductionLuiz Carrossoni NetoSr.Solutions Architect-DatabricksBru

6、no AmaralData Scientist and Machine Learning Engineer-PetrobrasGlobal leader in deep water explorationPetrobrasPetrobrasBrazilian Energy CompanyOil and Gas Exploration and Production as core businessReference in ultra-deepwater exploration6Global lead in ultra-deepwater explorationPetrobrasAs a comp