Allocating capital to artificial intelligence before fixing underlying data pipelines and operational workflows routinely produces expensive shelfware. World Consulting Group highlights why organizations with generous budgets still fail when they treat adoption as a software procurement exercise rather than an infrastructure overhaul. If your foundational processes cannot reliably produce clean, structured data, no off-the-shelf model will deliver measurable returns: bit.ly/ai-readin…
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