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Just as supply chain disruptions became the frequent subject of boardroom discussions in 2020, GenerativeAI quickly became the hot topic of 2023. Supply chains are, to a certain extent, well suited for the applications of generativeAI, given they function on and generate massive amounts of data.
This careful approach gives their AI sharper insights and a more nuanced understanding than any competitor using a generic dataset. Ive seen firsthand how even small improvements in dataquality can lead to significant leaps in AI performance. Calibrating user trust Every AI model has an inherent failure rate.
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