data foundations

About this tag
Discussions tagged with data foundations on WindowsForum.com focus on the practical steps organizations must take to prepare their data infrastructure for AI and Copilot adoption. Recurring themes include aligning data governance with AI readiness, building repeatable data pipelines, and ensuring data quality and controls are in place before scaling agentic AI. The tag covers the operational challenges of moving from AI experimentation to measurable ROI, emphasizing that disciplined data foundations are essential for enterprise AI success. Content under this tag is relevant for process leaders, IT managers, and decision-makers evaluating their organization's data maturity in the context of Microsoft Copilot and broader AI initiatives.
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    Five Hard AI Readiness Questions for 2026: Align Data and Governance

    The five hard questions every process leader must answer about AI in 2026 distill into a single practical test: can your organisation bring data, controls, people and measurable outcomes into alignment before scaled, agentic AI begins to make decisions that matter? The Process Excellence Network...
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    Copilot Adoption Playbook: From AI Disillusionment to Measurable ROI

    The path from AI hype to steady, measurable value is rarely a straight line; New Era Technology’s conversation with UC Today — led by Kristian McCann and Steve Daly — lays out a pragmatic playbook for moving organizations beyond AI disillusionment and into sustained Copilot adoption. The central...
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