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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NVIDIA Technical Blog发布于 08/24 23:00

Maximizing AI Factory Performance per Watt with NVIDIA DSX MaxLPS

(翻译)借助 NVIDIA DSX MaxLPS 最大化 AI 工厂每瓦性能

AI factories are power-constrained industrial systems. The question is no longer how many GPUs fit in a data center, but how much AI output each available…

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AWS Machine Learning Blog发布于 08/24 23:53

AI-powered metadata correction and harmonization

(翻译)AI 驱动的元数据修正与协调

Metadata harmonization (standardizing labels, identifiers, and formats so datasets can work together) is still largely manual. This post shows how AI-powered metadata correction works in practice, covering two approaches, human-in-the-loop validation and autonomous agent-driven workflows, plus gover

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Google AI Blog发布于 06/30 00:00

Ask an AI expert: What exactly is the full stack?

(翻译)向AI专家提问:全栈到底是什么?

A Google expert explains what it means to take a full-stack approach to AI and why it’s been the foundation of our AI work for so long.

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AWS Machine Learning Blog发布于 08/22 00:57

Accelerating aircraft IFEC diagnostics with agentic AI on AWS

(翻译)借助 AWS 上的智能体 AI 加速飞机 IFEC 诊断

Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue that diagnoses in-flight entertainment and connectivity (IFEC) issues across a global fleet, reducing diagnosis time from hours to minutes wh

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AWS Machine Learning Blog发布于 08/21 05:23

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas

(翻译)使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第2部分:使用Amazon SageMaker Canvas进行数据准备和模型构建

In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards

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AWS Machine Learning Blog发布于 08/21 00:31

Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore

(翻译)在 Amazon Bedrock AgentCore 中通过自然语言编写 Dogwood 策略

AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now including time-based constraints. This post shows how Policy Authoring turns natural-language policy documents into correct Dogwood policies, w

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Hugging Face Blog发布于 08/06 08:00

Baseten on Hugging Face Inference Providers 🔥

(翻译)Baseten 成为 Hugging Face 推理提供商

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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