Much of the ballyhoo around intelligent home assistance devices is that they make life easier for us: from regulating our thermostats to freeing our hands while we check a favorite recipe for roast turkey, to playing that favorite jam to get us pumped up in the morning. And it turns out that because these devices are designed to learn from our patterns and habits, they become more helpful the longer we live with them.
In this podcast, Ashwin Ram, one of the minds behind Amazon Alexa, describes how the company is balancing privacy concerns with natural language recognition to design a more effective device.
KelloggInsight podcast with Jennifer Cutler, Northwestern University’s Kellogg School of Management
LISTEN TO THE PODCAST / READ THE TRANSCRIPT:
insight.kellogg.northwestern.edu/article/podcast-how-amazons-alexa-learns
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