One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
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这套系统整合了得来速对话、厨房设备、库存等多个数据源，形成了一个完整的门店运营中台。汉堡王的首席数字官蒂博·鲁克斯在接受 The Verge 采访时，把 Patty 定义为「辅助管理」的工具。