AI in Office 365 Continuing the conversation of ‘What’s Next for Your Cloud,’ we want to highlight some of the new innovations and intelligent features that are being integrated into existing products. Last month, at Microsoft Build, many of the key themes were around integrating AI into ...
Microsoft 365 使你的员工能够通过每日使用的应用中的生成式 AI 的强大功能,实现最佳工作表现。 快速访问日常 AI 助手 通过Microsoft Copilot 为你的组织提供助力,该 AI 助手可增强生产力、激发创造力,并通过企业数据保护功能来保护数据。 随时随地使用任何应用进行创作 组织中的任何人都可以在一个统一的 Micro...
Windows 365 的新增强功能,包括对 Windows 11 企业版的支持 我们已通过Windows 365将电脑带到云端,因此各种规模的企业都可以安全地将完整的 Windows 体验传输到任何设备。现在可以选择使用 Windows 365 企业版在云中体验 Windows 11。即将推出对企业版的支持。 我们正在进行多...
Microsoft 365 compliance solutions help you discover, protect, and govern your data, address regulations and standards, and mitigate insider risks. The Microsoft 365 compliance connector allows you to automate actions for many of these compliance solutions....
Unlocking ROI: Forrester TEI Study Insights on Microsoft 365 Copilot for SMBs See all Events Skip to Popular Discussions Browse Community Hubs View all Community Hubs Skip to Member Stats Popular Discussions Loading You session expired and your last action was not completed successfully, please ...
利用AI 提高工作场所生产力 了解企业如何利用 AI 简化工作流、自动化任务和分析数据,以做出更明智的决策。 阅读文章 内置应用 在Microsoft 365 中无缝使用喜爱的应用。 查看Microsoft 365 应用 壁画 Calendly HubSpot 销售 Adobe Zoho Polly officeatwork
Lara AI LaunchDarkly LawToolBox 目的を持つ潜在顧客 鉛。ボット LEADx LeanIX LeanIX 通知 (レガシ) Learn365 学習エクスペリエンス Leave Request by LTAPPs トラッカーを残す LegalForceNavi Lexion Lexis® Connect Limade Well-Being Linkker ListAlpha CRM ライブ チャット livepro LIZ ブッカー...
Notion某宝会员+AI 的笔记软件非常有用,可以灵活组织笔记和任务 Quillbot$60+可以帮助润色文章的工具非常...
Create AI Copilot Agents with Code: A Guide Unlock New Skills: Build Custom Microsoft 365 Copilot Agents – Watch Our Developer Guide! Oct 2, 2024 11:00 AM Centralize Your Teams Phone Service Across All Your Teams Tenants Callroute’s latest release, Multi-Teams, enables businesses that have...
Today Microsoft 365 Copilot was announced for commercial customers. Copilot combines the power of large language models (LLMs) with organizational data in