I have to pull you up on the majority of what you’re saying about AI. The suggestions that AI is capital intensive is just plain false. It isn’t. The only expense is the data acquisition and the computing power. One data engineer and a data scientist can achieve a lot, as long as they have good data.So their biggest challenge is getting lots of clean data over a period of time. That’s how AI and ML work.
They actually need lots of customers, lots of deliveries and time to have a meaningful shot at implementing ML into their platform. It is NOT a case of just throwing cash at it. It simply doesn’t work like that. All of the ML algorithms they’re using will be open source (tensor flow etc).
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