163 summarised stories about AWS, each linking back to the original source. Browse all topics →
Amazon Web Services 1 month ago 22
GoDaddy migrated its business intelligence stack from its legacy BI tool to Amazon Quick Sight, then continued through the broader Amazon Quick rollout with additional AI features and chat agents.
Amazon Web Services 1 month ago 39
Amazon SageMaker AI’s Python SDK v3 redesigned bring-your-own-model script mode by replacing framework-specific estimator and deployment classes with ModelTrainer for training and ModelBuilder for deployment. It syncs a local source_dir into the training container at runtime when the job starts (using SourceCode with command or entry_script), so the training and inference code can be changed without rebuilding Docker images. As a result, one API works across multiple frameworks, and developers can iterate faster while keeping full control over the container contents.
Amazon Web Services 1 month ago 4
Amazon Bedrock AgentCore was shown enabling agents in one AWS account to call a governed Knowledge Base in another account and return generated answers from Amazon Redshift Serverless without copying the source data. The cross-account flow requires an assumed IAM role so the tool can call RetrieveAndGenerate, and the example uses Claude Haiku 4.5 via the session that runs RetrieveAndGenerate. The write-up presents two generally available AgentCore orchestration options—code-based Strands agents and a declarative harness—differing by who owns the agent loop and where the tool runs, while keeping the same security boundary between agent and data accounts.
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16 October 2026
AI finance took center stage: the IMF warns that the build-out’s most immediate market risk isn’t model capability, it’s leverage. In a review of 14 publicly disclosed deals since 2023, the fund found hyperscalers backing AI with about $650 billion in debt against roughly $300 billion in equity, while committing to spend $1.4 trillion going forward. The prescription is blunt—limit sector leverage and liquidity risk through sector-specific capital requirements and constraints on bank lending concentration—because when funding rests on borrowed money, sentiment swings turn into funding crunches.
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