Unflashy but high-powered machine learning powers everything from its fulfilment centres to the cloud
memos are famous. Executives must write one every year, laying out their business plan. Less well known is that these missives must always answer one question in particular: how are you planning to use machine learning? Responses like “not much” are, according to Amazon managers, discouraged.
Human workers, or “associates” in company vernacular, man stations at gaps in the fence that surrounds this “robot field”. Some pick items out of pods brought to them by a robot; others pack items into empty pods, to be whirred away and stored. Whenever they pick or place an item, they scan the product and the relevant shelf with a bar-code reader, so that the software can keep track.
Amazon Web Services is the other piece of core infrastructure. It underpins Amazon’s $26bn cloud-computing business, which allows companies to host websites and apps without servers of their own.’s chief use of machine learning is to forecast demand for computation. Insufficient computing power as internet users flock to a customer’s service can engender errors—and lost sales as users encounter error pages. “We can’t say we’re out of stock,” says Andy Jassy,’s boss.
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