Large-scale classification of M365 Copilot Chat sessions shows writing dominates usage with a shift toward content creation over search, varying by occupation.
Early impacts of M365 Copilot
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
OIDA is a proposed framework that represents organizational knowledge as epistemic Knowledge Objects with class-specific importance decay and signed contradictions, plus a QUESTION mechanism that surfaces modeled ignorance via inverse decay.
LLMs relocate rather than eliminate trade-offs among generality, accuracy, and simplicity, shifting complexity to infrastructure, compliance, and expertise and redefining competitive advantage around managing that shift.
citing papers explorer
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AI in the Enterprise: How People Use M365 Copilot Chat
Large-scale classification of M365 Copilot Chat sessions shows writing dominates usage with a shift toward content creation over search, varying by occupation.
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Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure
OIDA is a proposed framework that represents organizational knowledge as epistemic Knowledge Objects with class-specific importance decay and signed contradictions, plus a QUESTION mechanism that surfaces modeled ignorance via inverse decay.