Machine learning: Enable more streamlined development cycles

Break down barriers to machine-learning development. [Content Pack: Confluent Cloud on AWS: Break down barriers to machine-learning development] The recent evolution and widespread availability of machine learning (ML) frameworks, foundational models, and commercial applications has increased the size of development teams working with these leading-edge technologies. This presents several challenges: - Complex and expensive data pipelines - Inability to collaborate efficiently - Lack of visibility across systems and environments In this Amazon Web Services (AWS) article and companion video, discover how Databricks creates a comprehensive and unified experience to help alleviate these roadblocks. 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