From “It Works” to “Can We Trust It?”: Building Reliable Finance Analytics in Microsoft Fabric
中文摘要
在Microsoft Fabric中构建可靠金融分析，AI项目需超越演示。通过语义模型与数据代理评估建立信任至关重要，确保实际应用可靠性。
English Summary
Building reliable finance analytics in Microsoft Fabric means AI projects must move beyond demos. Establishing trust through semantic models and data agent evaluation is crucial for real-world application.
Original Excerpt
What creating a semantic model and evaluating a data agent taught me about moving an AI project beyond a successful demonstration Continue reading on Medium »