當 AI 雲端基礎建設全速啟動，背後的協作與治理怎麼撐起來？

What happens behind the scenes when an AI cloud platform goes live at full speed?

這場分享橫跨開發算力平台與營運平台的真實導入經驗——

如何以 Jira × Confluence × Rovo 整合，

改善事件管理、文件整理與報表產製，

讓算力平台在高速建置期依然運作有序。

This session spans real-world experience across both AI development and operations platforms —how integrating Jira × Confluence × Rovo improved incident management, documentation, and reporting,keeping the platform organized even during the most intense build-out phases.

Date & Time（時間）

2026/09/23（Wed）20:00–21:00 CST

🔗 報名 register → https://gojira.pse.is/260923event

這場你會聽到 What You'll Learn

① 工具整合與實務應用 Integration in Practice

• Jira、Confluence 與 Rovo 如何串聯，改善算力平台的事件管理、文件整理與報表產製 How Jira, Confluence & Rovo work together to improve incident management, documentation, and reporting on an AI Cloud platform

② 真實推廣的痛點 Real Pain Points from the Field

• 資料版本控管的挑戰 Data versioning challenges

• Token 成本的控制策略 Managing token cost at scale

• 外部廠商合作的協作難題 Collaborating effectively with external vendors

③ 已落地的自動化解法 Automation Solutions Already in Production

• Jira 自動留言與事件摘要 Auto-comments & incident summaries in Jira

• 停機時間自動計算 Automated downtime calculation

• 文件與外部網站同步機制 Documentation sync with external sites