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Enterprise & Industry11 min read

Microsoft outlines skills needed to move AI from PoC to business use

Microsoft’s Search team highlights common pitfalls in generative AI adoption, where projects often stall after proof-of-concept (PoC) stages. Assign Connect AI, a consulting firm, notes that companies frequently struggle to scale AI from trials to real-world operations due to gaps in effectiveness measurement, workflow integration, production environment readiness, and quality monitoring. The…

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Key points

  • PoC-to-production experience is preferred but rarely required; most projects prioritize development or business analysis skills
  • Seven projects needed end-to-end expertise: requirements definition, system integration, and stakeholder coordination
  • Microsoft’s Copilot Studio and Power Platform are key tools for scaling AI from trials to business operations
Full story from note.com · by アサインコネクト|FDE・AI実装の案件 · via Search: MicrosoftOpen source ↗

Generative AI Business Implementation Projects

note.com · 25 October 2026

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This text was published by note.com and written by アサインコネクト|FDE・AI実装の案件. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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