While an increasing number of companies are investing in AI, many are struggling to get AI-powered projects into production — much less delivering meaningful ROI. The challenges are many. But a commonly recurring one is data management. The data that companies need to train, run and fine-tune AI models is disorganized, siloed, and otherwise unoptimized. […]
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Source: TECCRUCH
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