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In this single‑speaker discussion, the presenter contrasts two ways of applying AI to business data. Running AI on historical data is portrayed as useful for reporting and validation: it lets teams check whether models and datasets align and saves time on routine analytics. However, the speaker argues that the true power of AI emerges when it is applied to forward‑looking data that reflects the current business climate, macro‑ and micro‑economic conditions, and industry trends. By integrating these real‑time contextual signals with existing datasets, AI can move beyond generating accurate reports to actively supporting strategic decision‑making. The core claim is that forward‑looking AI, not just historical analysis, unlocks AI’s strategic value.

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