The Internet of Things (IoT) has always been focused on products and technologies. This year however, a major theme at CES has been the consumer experience—and interestingly, consumers don’t really care about the technology behind their products and services. They just care about getting things done, more efficiently. Their ask? For technology to be intuitive and to serve them. It shouldn’t interfere with consumers’ lives, as the frustration bar for bad tech is very low.

Machine Learning Powering Experiences

Digital machines that are deeply integrated into people’s lives, like wearables and smart home devices, are doing a better job of not only collecting data, but using that data to add intelligence back into the system. These technologies make automatic decisions that optimize our homes to save energy, route our cars more efficiently, create more “mindful” spaces and give us more actionable recommendations to improve health.

Connected Data Provides Shared Learning

Machine learning is also powering the “democratization” of industries like healthcare and self-driving cars. Take for instance, a car that learns something new, such as the location of a large pothole in the road, and then instantly informs other cars about the pothole. Wearables are also helping us make more smarter, collective healthcare decisions and the data collected by things like wearables will be as valuable as third-party data. All of this is invisible, blending into the background of our lives, but improving consumers’ Experience of Things (EoT).