InfoQ 中文发布于 08/25 18:52

Snowflake Summit 2026:Whatnot 如何将超高速增长中的数据转化为清晰的业务洞察 | 技术趋势

对很多公司来说,数据基础设施就像一个黑盒子:数以百万计的数据点被送进去,复杂查询在里面运行,然后报表被吐出来。但一旦系统变慢、成本飙升,或者某个关键 dashboard 突然空白,想找到根因就像在黑暗里摸索。为了让这个问题更清晰地被看见,实时购物平台 Whatnot 在 Snowflake Summit 2026 上与 Snowflake 同台分享了他们的实践。这个合作案例说明,现代数据工具可以在巨大的实时压力下,依然让客户体验保持顺滑、可靠且完全可见。

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Solidot发布于 08/24 15:06

调查显示三分之一英文网页有 AI 创作痕迹

Solidot是至顶网的科技资讯网站,主要面对开源自由软件和关心科技资讯读者群,包括众多中国开源软件的开发者,爱好者和布道者。口号是“奇客的知识,重要的东西”。

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NVIDIA Technical Blog发布于 08/22 00:21

GPU-Accelerated Clustering for Financial Instruments at Scale

(翻译)GPU加速的大规模金融工具聚类

Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters…

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AWS Machine Learning Blog发布于 09/09 01:03

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1

(翻译)通过 MLflow 与 Amazon SageMaker AI Model Registry 同步进行模型治理(第 1 部分)

Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry, with lifecycle stage promotion. Part 1 shows how to govern candidate models in a single account using IAM guardrails.

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AWS Machine Learning Blog发布于 09/22 00:34

Run Positron on Amazon SageMaker AI for data science workflows

(翻译)在 Amazon SageMaker AI 上运行 Positron 以支持数据科学工作流

Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an XGBoost model in Python, deploys a real-time SageMaker AI endpoint, and reports results with Quarto, all in one governed S

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