In the news
From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence
Microsoft Research · Somya Chatterjee, Harshita Sahijwani, Min Chen, Sushmitha Rajeswari Muppa, Dayquan Julienne, Irene Shaffer, Chandra Inguva, Jenny Chen, Minha Hwang, Sam Ade Jacobs · Published · 3 min read
In 30 seconds
- What happened
- Microsoft built a synthetic data platform to evaluate Copilot at enterprise scale without using real customer data, grounding simulations in public sources like O*NET and SEC filings.
- Why it matters
- Enterprise teams deploying AI assistants need realistic evaluation environments that respect privacy while testing complex workflows like healthcare summaries or financial deal reviews.
- Watch out
- Synthetic data quality depends on how well public sources capture real enterprise complexity; domain-specific failure modes may still emerge in actual deployment despite high synthetic scores.
- eval
The patterns behind this
Each one covers how the technique works, when it earns its cost, and where it breaks.
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