Amazon Athena
PulseAugur coverage of Amazon Athena — every cluster mentioning Amazon Athena across labs, papers, and developer communities, ranked by signal.
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Jamf implements real-time AI spend controls on Amazon Bedrock
Jamf has developed a system to manage and enforce spending limits for generative AI usage on Amazon Bedrock. This solution addresses the challenge of unpredictable AI costs by providing per-user visibility and real-time…
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Amazon SageMaker Feature Store adds batch writes and record discovery APIs
Amazon SageMaker Feature Store has introduced two new APIs to improve the efficiency and usability of managing machine learning features. The BatchWriteRecord API allows for the ingestion of up to 25 records in a single…
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AWS Bedrock adds granular cost attribution via Athena and CUDOS
AWS has introduced a new feature for Amazon Bedrock that allows for granular cost attribution, tracing each inference request back to the specific IAM principal that made the call. This enables detailed visibility into …
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AWS SageMaker AI enhances model monitoring and support capabilities
AWS has introduced new capabilities for Amazon SageMaker AI endpoints to enhance model monitoring and support. The first development focuses on inference meta-monitoring, which tracks prediction and data quality metrics…
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AWS offers observability solution for Amazon Quick AI platform
AWS has detailed a new solution for enterprises to gain visibility into their usage of Amazon Quick, a generative AI platform. This system consolidates operational data from various AWS services into a central data lake…
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Amazon Quick enhances AI analytics with document control and prompt-based dashboards
Amazon Quick, an AI-powered analytics service, has introduced several new features to enhance data access and usability. Document-level access control lists (ACLs) are now supported for Amazon S3 knowledge bases, allowi…