Amazon multiplied its machine learning

This is interesting: How Amazon Rebuilt Itself Around Artificial Intelligence. There are lots of fascinating things but what grabbed me most was that Amazon had either the great foresight or plain old jammy luck to put in place ways to multiply the growth of their machine learning expertise.

For example, by being more open with employees’ freedom to publish research, and thus make visible the sorts of projects that they were undertaking, Amazon was better able to recruit talent that otherwise would have gone to Facebook, Google or stayed in academia. These better-qualified employees then published even more impressive work, piquing the interests of the very best in the field.

They also worked to hugely increase the amount of data available with which to train their AI. By opening up their platforms to third party developers and creating more consumer products that run on them, they could apply their machine learning techniques to a far larger dataset, leading to huge advances in understanding and capability at great speed.

Author: Matthew Culnane

Sometime social and UX person working in education. Interested in food, books, music, others. Working out how it all works.