We have been talking about smart homes and technologies for them for a while now. They are certainly a hot topic not only in tech but in the public domain as well.
Smart homes are a great step forward but until now they were exclusive to people who could afford a complete smart home built from scratch or to spend 200 $ in a home assistant to be an early adopter of an innovative technology that is revolutionizing the way we interact with machines and devices.
But things are changing. And the change is following the same patterns as previous technologies adoptions. Remember the first mobile phones? The few people who had one of them at the beginning carried around a big, heavy device with big buttons and B/W tiny displays. But they proved so useful and became affordable enough hat we all ended up with one of them in our pockets.
The same is happening with smart homes. The new trend in the market are smart plugs, which are democratizing the access to home intelligence, as they are:
- an easy-to-use technology, compatible with other devices (you only need to add them to your switches)
- much more affordable than whole smart homes (the average cost is 30 $).
The iDevices Switch, one of the most popular smart plugs in the market
We have also recently seen advances on voice synthesis that have reached outstanding results, like Tacotron 2. If you don’t agree with us just follow the link and try to tell apart the human voice from the synthesized one.
What does all this mean? We are closer and closer to full adoption of Artificial Intelligence not only in our own homes, but in schools, hospitals, and any kind of event. It is already saving costs in industry, so it is only fair that citizens take advantage of the technology too.
But for this technology to be truly global, we need solutions to make it work not only in English but in every language in the world, and to boost the Natural Language Understanding (NLU) module to overcome most of the problems virtual assistants face right now.
Here at Bitext, when we think about the future we get excited about what will come, and optimistic about the timing. That's why we are developing NLP middleware to work inside home automation bots' architectures and improve their NLU. Do you want to see how? Download our Home Automation case study!