Microsoft Research Launches Synthetic Enterprise Data Evaluation Platform
Current overview (not historical)
Microsoft Research has unveiled the Industry Evaluation Data Generation Platform, a synthetic data engine designed to address the lack of realistic data for evaluating Copilot at enterprise scale. The platform draws on public sources such as O*NET occupational data, online job postings, and SEC filings to generate complete, fully synthetic enterprise environments that simulate real business workflows—including clinical trial review, compliance communication, and code review—without using any customer data. All generated environments are verified to be free of harmful or personally identifiable information through automated content‑safety checks, allowing teams to share and reuse data without exposing reputational, regulatory, or responsible‑AI risks. The initiative represents a step toward more robust, privacy‑preserving AI evaluation in corporate settings.
Written with AI from the reporting · updated 10/30/2026
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- 1Unclassified fact stationOct 30, 21:50single sourcereport-time only
发布 Industry Evaluation Data Generation Platform
Read original source ↗ Microsoft ResearchReplay this moment in the explorerEvidence & revisions · 1 source records
- Subject：
- Microsoft Research
- Action：
- 发布 Industry Evaluation Data Generation Platform
- Object：
- 用于评估 Microsoft Copilot 的合成企业数据平台
- Occurred (fact side)：
- not recorded
- Published (valid side)：
- Oct 30, 21:05
- First seen (known side)：
- Oct 30, 21:50
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- Microsoft ResearchFirst-party sourceRelated fact: single sourceFact occurrence time unverifiedMicrosoft Builds Synthetic Enterprise Environments to Test Copilot at Scale
Report first recorded Oct 30, 21:50
Microsoft Research has launched the Industry Evaluation Data Generation Platform, a system that creates fully synthetic enterprise environments for testing its Copilot AI. The platform draws on publicly available data such as O*NET occupational data, online job postings, and SEC filings to generate realistic users, meetings, emails, documents, and organizational structures. Automated query pipelines produce reproducible evaluation datasets, while quality frameworks ensure the synthetic data meets rigorous standards. By using these synthetic scenarios, Microsoft can assess Copilot’s performance—such as summarizing meetings and extracting action items—without accessing any real customer data, thereby addressing privacy and safety concerns while providing a more realistic benchmark than generic tests.
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- 10Oct 30, 22:00
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