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Do you know how many engineers work at Google and Amazon? A lot. Chances are that many readers of this article actually are Google and Amazon. My point is: t
by cle 8y ago
Do you know how many engineers work at Google and Amazon? A lot. Chances are that many readers of this article actually are Google and Amazon.
My point is: these generalizations in either direction are not helpful. Many people are operating at Google scale, and many people aren't. Be aware of that when you read about potential technologies.
- BoorishBears 8y agoIf you're Google, you know. So if you're the audience of this article, you're not Google.
- kradroy 8y agoI'd dare to say that many groups/products at Google aren't even operating at Google scale. I'd also dare to say that some Google products operating at Google scale can be a bad thing (i.e. unprofitable). The latter statement, or both statements, might be supported by the number of products they kill off.
- threeseed 8y agoI have worked in many industries e.g. telecommunications, insurance, finance where our challenges are just as big and sophisticated as Google. If you're doing large scale ML, having to respond to requests in very low millisecond numbers or having to crunch through significant amounts of data (often more than Google produces) then you need to use similar approaches to them. Even doing ML at all can be quite demanding.