model provenance

About this tag
Model provenance refers to the traceability and verification of AI agents and models within enterprise systems. Discussions on WindowsForum.com highlight how Microsoft and Workday are building an Agent System of Record to give AI agents verified identities and manage them alongside human employees. The concept also appears in debates about shadow AI, where employees use AI features in familiar apps without awareness, and in critiques of AI forecasting limitations in sports. Model provenance is central to governance, accountability, and risk management as AI becomes embedded in enterprise workflows, from Microsoft 365 Copilot to NFL sideline tools. The tag covers identity, lifecycle management, and the practical barriers to displacing established ecosystems like Azure.
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    Workday and Microsoft Launch Agent System of Record for AI Agents

    Workday and Microsoft have quietly stepped into the next phase of enterprise automation: they’re building the plumbing to let agentic AI workers — digital agents created in Microsoft’s developer ecosystem — obtain verified identities, join a corporate directory, and be managed alongside human...
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    Copilot Chat Now Integrated in Word, Excel, PowerPoint, Outlook, OneNote | Microsoft 365 AI

    Microsoft is weaving its AI assistant deeper into the Office experience by rolling Copilot Chat and agent capabilities directly into core Microsoft 365 apps — Word, Excel, PowerPoint, Outlook, and OneNote — bringing a unified, in-context chat pane and a raft of new tools aimed at turning an AI...
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    AI Forecasts vs Reality in the Sinner-Auger-Aliassime US Open Semi

    The semi-final at the 2025 US Open between World No. 1 Jannik Sinner and Canada’s Félix Auger‑Aliassime was a study in expectation versus reality: the pre-match narrative — amplified by mainstream previews and a chorus of AI platforms that overwhelmingly favoured Sinner — largely proved correct...
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    Shadow AI in the Enterprise: Awareness, Risk, and Practical Governance

    AI is already everywhere in the enterprise — and the biggest short-term risk may be that most employees don’t even realize they’re using it. Background The conversation about AI risk has, until recently, centered on sophisticated threats: algorithmic bias, model explainability, intellectual...
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    Macrohard vs Azure: Can Elon Musk's AI-First Startup Displace Microsoft?

    Elon Musk’s cheeky “Macrohard” provocation is grabbing headlines, but the claim that it will meaningfully dent Microsoft’s Azure business is premature — and underestimates the practical, contractual, and engineering barriers any AI‑first upstart must clear to displace a multi‑product enterprise...
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    NFL Teams Tap Copilot on the Sideline: AI Assistive Tools for Scouting and Game Day

    The NFL’s decision to fold generative AI and Microsoft’s Copilot into its sideline toolkit marks a decisive shift: intelligent assistance is moving from back-office analytics into the heat of game-day decision-making, scouting, and stadium operations in a multiyear expansion of the league’s...
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