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Mari Silbey for LightReading: If the first phase of the smart home is about adding sensors to light bulbs and door locks, the second phase is about collecting and analyzing data to make the smart home even smarter. Icontrol is moving on to the second phase, announcing that it has teamed up with Canadian company mnubo to bring data analytics to its popular smart home platform.
There's been no question that analytics will play a large role in connected homes of the future. It's a short leap from telling your home to flip the lights when the front door opens to having the smart home system understand that a door opening means the lights should come on, or that at 6 p.m. the family is headed home and the lights and temperature should be adjusted accordingly. With data collected over time, a machine learning system for the smart home can start to predict user preferences.
Icontrol believes it has an advantage in this emerging phase of the market because its scale means it has more data to work with than many of its competitors. The company is the dominant platform provider in the US cable industry, and Icontrol says its software is already tracking more than 26 million sensors and devices. The platform is expected to manage more than 100 billion transactions worldwide in 2015. Cont'd...
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