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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

based single sign-on (SSO) methods, such as AWS IAM Identity Center. To learn more, see Secure access to Amazon SageMaker Studio with AWS SSO and a SAML application. For Data flow name , enter a name (for example, AssessingMentalHealthFlow ). SageMaker Data Wrangler will open. You can also use your organization’s SAML 2.0-based

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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning Blog

With SageMaker, data scientists and developers can quickly build and train ML models, and then deploy them into a production-ready hosted environment. In this post, we demonstrate how to use the managed ML platform to provide a notebook experience environment and perform federated learning across AWS accounts, using SageMaker training jobs.

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Learn About LLMs With These ODSC East 2024 Sessions

ODSC - Open Data Science

You’ll explore the breadth of capabilities of state-of-the-art LLMs like GPT-4 can deliver through hands-on code demos that leverage the Hugging Face and PyTorch Lightning Python libraries.

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Who’s Attending ODSC West 2024? A Powerhouse of AI Leaders

ODSC - Open Data Science

Snowflake: Known for its cloud-based data warehousing solutions, enabling efficient big data analytics. Dataiku: Providing an end-to-end data science and machine learning platform for enterprises. SAS: A long-standing leader in analytics software and services.

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Present and future of data cubes: an European EO perspective

Mlearning.ai

How can we all make environmental data more usable, accessible and more relevant? Presentations include demos of functionality and proposals for the future development work, primarily funded by the Horizon Europe programme. On-demand processing of data cubes from satellite image collections with the gdalcubes library.

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Access Amazon Redshift Managed Storage tables through Apache Spark on AWS Glue and Amazon EMR using Amazon SageMaker Lakehouse

Flipboard

With SageMaker Lakehouse, you can access tables stored in Amazon Redshift managed storage (RMS) through Iceberg APIs, using the Iceberg REST catalog backed by AWS Glue Data Catalog. This expands your data integration workload across data lakes and data warehouses, enabling seamless access to diverse data sources.

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