DATABASES Signal 432
Microsoft CEO Touts His Own DIY AI Project To Wall Street and His 20 Million Followers
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The example illustrates a complete, governance‑aware workflow where a knowledge worker can generate a data app with natural‑language prompting, automated data integration, version‑controlled code and centralized IT oversight. For engineers, it highlights the operational challenges of managing AI‑generated artifacts across multiple services and the need for clear testing, cost controls and transparency when such DIY tools move toward production use. The mixed social‑media reaction also underscores the importance of sharing prompts and realistic expectations about the business value of AI‑created reports.
Written by elseif from the cluster below · every claim links back to a sourceThe three things worth knowing
Nadella used a single Copilot prompt to turn a PDF research report into a Power BI dashboard, creating a semantic model that pulled live SEC data via Fabric and OneLake.
The app’s components reside in Copilot (the app), GitHub Enterprise (the code), Fabric (data pipelines, lake and semantic models) and are governed by Agent 365 for IT, security and FinOps oversight.
While some followers praised the demonstration, critics on social media questioned its practical value, calling it a glorified slide show and demanding proof of the underlying prompt and cost justification.
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