If you’ve learned anything from this podcast, you’ve probably learned that the smart home is pretty much a mess if you want everything to work together in some sort of seamless, easy-to-use way. Amazon’s Echo helps. HomeKit has a roadmap, but it’s still got a ways to go. This week, our guest Alex Capecelatro, CEO of Jstar, a company developing a voice-controlled artificial intelligence for the smart home discusses how to build an intuitive self-learning home. Our conversation will teach you a lot about how machines learn and the limitations of voice for controlling your home.
The Misfit Shine.
Before we get to that, Kevin and I spend time breaking down the big news of the week including Lowe’s updated Iris home hub and the updated Bluetooth roadmap which includes speed updates and a mesh. We also break down Fossil’s reasons for buying Misfit, the company behind the Shine wearable device. So get comfortable, and listen up.
Hosts: Stacey Higginbotham and Kevin Tofel
Guests: Alex Capecelatro, CEO of Jstar

Lowe’s updates its Iris Smart Home Hub
Bluetooth is getting meshy and faster
Why on earth did Fossil buy Misfit?
Building a better Alexa with Josh.ai
How does machine learning even work?

The post Episode 33: Better Bluetooth and an AI for the smart home appeared first on IoT Podcast - Internet of Things.

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