# UKG unlocks real-time workforce intelligence at scale with the Agentic Data Cloud

Canonical URL: https://www.traeai.com/articles/323db7b2-e6e6-47ff-976b-d2a52b4a60a2
Original source: https://cloud.google.com/blog/products/databases/how-ukg-taps-workforce-intelligence-with-the-agentic-data-cloud/
Source name: Google Cloud Blog
Content type: article
Language: 英文
Score: 8.5
Reading time: 4 分钟
Published: 2026-04-29T16:00:00+00:00
Tags: UKG, Agentic Data Cloud, 人力资源管理, 实时数据处理

## Summary

UKG通过Agentic Data Cloud构建了People Fabric平台，实现了实时的人力资源和劳动力管理数据统一，支持跨领域的即时洞察和自动化工作流。

## Key Takeaways

- UKG使用AlloyDB作为核心数据库，实现毫秒级读写和高吞吐量的数据处理。
- People Fabric提供了一个统一的数据模型，支持实时AI决策和自然语言交互。
- Agentic Data Cloud帮助UKG整合分析和事务数据，驱动实时AI应用。

## Outline

- 引言 — 介绍UKG在人力资源管理和劳动力管理解决方案上的发展背景及面临的挑战。
  - 系统统一 — 描述People Fabric的构建过程，包括定义统一数据模型、选择AlloyDB作为核心数据库以及构建数据管道。
  - 智能人员管理 — 说明People Fabric如何提供统一的数据视图，并支持实时AI决策和自然语言交互。
  - 影响层面 — 讨论People Fabric对不同层面的影响，包括工程、产品和客户体验。

## Highlights

- > We needed an operational database that could ingest changes quickly and scale horizontally. That’s why we chose AlloyDB as the core of People Fabric. — 第 4 段
- > With the architecture in place, People Fabric gives us something we never had before: a complete and consistent view of people, work, pay, and culture data that’s updated continuously and ready for AI — 第 7 段
- > Whether they're identifying pay discrepancies, adjusting schedules, or flagging compliance risks, they operate with the same shared semantics and security model that guides our applications. — 第 9 段

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