AWS: Expand the Reach of AI Projects with Dataiku + AWS

Value

AWS has created the perfect machine learning platform for developers. With Dataiku, turbo-charge AI initiatives by enabling hundreds of data workers to benefit from the scalability and the broad variety of services that AWS provides. 

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By leveraging Dataiku’s integrations with AWS:

• Augment productivity for the whole data team: data scientists and engineers can create and deploy AI applications with greater velocity by leveraging Dataiku’s data prep, feature engineering, and AutoML capabilities to operationalize models and associated data pipelines.
• Support hundreds of less-technical data workers with intuitive tools for manipulating, analyzing, and visualizing large datasets. Business analysts can build SageMaker models from Dataiku while collaborating with advanced users.
• Improve monitoring, governance, compliance, and reuse for analytics and machine learning projects with AWS and Dataiku by removing silos and sharing best practices across the enterprise.

Integration Highlights

• Seamless access to data stored on AWS, with read/write access to Amazon S3 and managed SQL services.
• Scale data pipelines and machine learning processes by leveraging compute clusters (EMR, EKS), either through visual components or by using coding languages of choice.
• Connect, visualize, transform, and analyze datasets using Redshift with visual recipes or custom SQL code.
• Leverage the AWS Machine Services APIs to include computer vision or text analytics seamlessly into projects.
• Build, deploy, and manage SageMaker models and endpoints collaboratively from Dataiku.