这个范畴就是贝佐斯所谓的“机器学习实际应用”，没有AI支持，面向消费者的产品或服务就不可能成功。亚马逊便利店Amazon Go、Prime Air递送无人机以及虚拟个人助理Alexa都是如此。
尽管Amazon Go和Prime Air递送依然处于早期阶段，但Alexa已存在感爆棚，今年它没有出现在CES展览上，却依然独领风骚。很容易看到，亚马逊正在这个领域处于领先地位，因为Echo的发布实际上相当于发明了语音助理扬声器这种新产品。
Amazonians and investors alike, rest assured: Jeff Bezos knows artificial intelligence is a big deal.
The Amazon CEO took a few paragraphs in his annual shareholder letter to explain how the company is using AI throughout its business, having recognized and embraced the “external trend.” The letter itself focuses on the idea that Amazon is still in “Day 1,” still a startup that’s well aware that irrelevance and excruciating decline begins when you reach Day 2.
Bezos outlined three major categories that artificial intelligence falls into at the company: visible products and moonshots, core operations, and enterprise cloud.
“The outside world can push you into Day 2 if you won’t or can’t embrace powerful trends quickly. If you fight them, you’re probably fighting the future. Embrace them and you have a tailwind,” Bezos writes.
Products and moonshots
This category is what Bezos calls a “practical application of machine learning,” consumer-facing products or services that wouldn’t be possible without AI. The Amazon Go grocery store fits in here, as well as Prime Air delivery drones, and of course, the company’s virtual personal assistant, Alexa.
While Amazon Go and Prime Air delivery are still in extremely early stages, Alexa has become the virtual assistant du jour—this year we think it won CES without even showing up. It’s easy to see Amazon as a leader here, since the Echo’s release practically invented the product category of voice-assistant speaker.
Beneath the surface
Artificial intelligence isn’t all drones and virtual assistants—Bezos says that a lot of the AI work within the company happens under the hood of its core business, e-commerce. The company uses artificial intelligence to predict product demand, power search rankings, create and recommend deals, detect fraud, and translate the site into other languages.
“Though less visible, much of the impact of machine learning will be of this type – quietly but meaningfully improving core operations,” Bezos says.
This also fails to mention Amazon’s highly-automated warehouses, which use robots to accelerate processing and shipping time.
This is typically where people’s eyes start to glaze over. It’s hard to overstate Amazon’s dominance in the sector, though: the company earns more than 5 times the revenue of its nearest competitor, Microsoft. Alongside S3 storage that supports much of the web (and cripples much of the web when it fails), Amazon offers easy tools for developers to integrate Amazon’s artificial intelligence algorithms into their own applications, as well as servers for AI companies to run their own algorithms.
The cloud is also a great marketing tool for providers like Amazon, because the work that others are doing on the platform usually sounds very impressive, without the provider having to do much of the tinkering and design that makes the final product work. Bezos touts the company’s “pre-packaged” AI algorithms as helping predict disease and estimate crop yields for farmers, with “no machine learning expertise required.”
Capping AI’s section of the letter, Bezos says:
“Watch this space. Much more to come.”