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Amazon Alexa

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Alexa is now on many devices and in many countries. Building the original voice assistant was a true example of AI at scale. Since launch, the number of users, devices and features of Alexa has continued to expand at a huge rate. I’ll speak to some of the challenges of building and deploying AI and ML at scale, whilst continuing to innovate and push boundaries—all whilst having a very large user base that aren’t afraid to point out if you ever get it wrong. What does AI at scale really mean here? And what are the challenges? (for research, for engineering, for management, for accuracy of algorithms). I’ll bring along some Alexa devices to demonstrate some of the topics we are working on, and the ways we are pushing to make Alexa smarter every day.

This talk is part of the Wednesday Seminars - Department of Computer Science and Technology series.

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