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Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

In your AWS account, prepare a table using Amazon DataZone and Athena completing Step 1 through Step 8 in Amazon DataZone QuickStart with AWS Glue data. 1 MinContainers Minimum containers for auto scaling. 1 MaxContainers Maximum containers for auto scaling. An email address must be included while creating the user.

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How Kakao Games automates lifetime value prediction from game data using Amazon SageMaker and AWS Glue

AWS Machine Learning Blog

In addition to the challenge of defining the features for the ML model, it’s critical to automate the feature generation process so that we can get ML features from the raw data for ML inference and model retraining. But there is still an engineering challenge. Corresponding tables in each phase are created in Athena.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning Blog

The AWS portfolio of ML services includes a robust set of services that you can use to accelerate the development, training, and deployment of machine learning applications. The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models.