Generative AI could add up to $7.9 trillion annually to the global economy, but its success depends on centralized, continuously updated data and strong governance. Foundation models trained on public data gain real value when combined with proprietary data through retrieval-augmented generation. Organizations need automated pipelines, cloud-based repositories, and governance practices to ensure quality, compliance, and security. Beyond technology, data literacy, prompt engineering, and responsible safeguards against hallucinations and misuse are critical. While generative AI will transform industries, human oversight and a reliable data foundation remain essential for trustworthy adoption.

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