AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

838历史快讯
50开源工具
7当前结果
05 月 27 日 2026-05-27 快讯

AWS Machine Learning 动态:Process financial documents using Amazon Bedrock Data Automation

原文摘要:In this post, we explore how Amazon Bedrock Data Automation can accurately extract information from four common types of financial documents: bank statements, W-2 forms, 1099-B tax 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Building AI agents for business support using Amazon Bedrock AgentCore

原文摘要:In this post, we share how the AWS Generative AI Innovation Center (GenAIIC) collaborated with Works Human Intelligence (WHI) to build two AI agents using Amazon Bedrock AgentCore. 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:From data overload to actionable insights: How Verizon Connect scaled agentic AI to 100,000 …

原文摘要:In this post, we show you how Verizon Connect built and scaled an agentic AI solution to transform overwhelming fleet data into clear, actionable insights for 100,000 users daily. 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:How AWS SMGS uses an AI-powered conversational assistant to transform business management wi…

原文摘要:In this post, we share how we built NarrateAI using Amazon Bedrock AgentCore to deliver business intelligence at scale for the AWS SMGS (Sales, Marketing and Global Services) organ 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

AWS Machine Learning 动态:Powering agentic AI sales strategy with Amazon Bedrock AgentCore

原文摘要:As agent adoption scaled, we saw a common pattern emerge across enterprises, including our own sales organization: specialized agents deliver value, but without orchestration, user 来源:AWS Machine Learning 动态。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

InfoQ AI ML Data Engineering:Azure Logic Apps Adds Sandboxed Code Interpreters to Agent 工作流

原文摘要:Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration 工作流 to generate and execute Python, JavaScript, C#, and PowerShell in Hype 来源:InfoQ AI ML Data Engineering。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。