Snap One does not stand still when it comes to continuous improvements to its software solutions, especially for OvrC and Control4.
While some smart home systems are better than others, none are truly smart in the futuristic way consumers expect. Today’s intelligent systems are not able to anticipate needs or wants before they are formulated by a customer, nor to change them automatically based on who is or is not in a room. But the smart home of the future – a smart home system that could do these things, is closer than you think. Advances in AI, more powerful microprocessors, and cloud capabilities provide the right ingredients that make the true smart home possible.
Kenny Kim, Vice President of Platform and Services at SnapOne, argues that AI is “really democratizing technology”. He says AI allows Snap One to recognize customer patterns and make devices learn from that activity.
“It’s not an impossible technology. It’s more mature. When I think about AI in our space, it really democratizes technology. It gives everyone the opportunity to incorporate some of these AI capabilities,” he says.
What does this mean for integrators?
“When I think of our systems in our industry, what we call smart home systems…to me, they’re not really that smart. It’s still very manual to really customize it and make it fit for the customer. has to be managed over time and it requires manual intervention. When I think of “intelligent”, I think of what AI could do in our space. It can learn the patterns of our lives, it can learn the patterns of our needs and how that changes dynamically over time. It can learn and adapt to us without needing very manual intervention from the partner,” he says.
The result of this AI learning is that integrators will be able to deliver much better experiences, higher engagement for end customers with less contact required by the integrator.
According to Kim, the professional smart home industry is in a unique position to take advantage of this technology, as the average number of IoT devices in an integrator’s customer home is over 100 devices.
“When you think of an IP-enabled device, you almost have to think of it as a sensor: and they all produce data input and output that is operated by a single control system. So by being able to leverage what we already have as a base, I think we’re uniquely positioned to leverage AI to really improve the experience our customers have with their systems,” he explains. -he.
Kim says Snap One is investing heavily in a number of areas to make its systems smarter, including updating its products with the latest smarter, more powerful processors with the ability to process more data. This foundation is then the basis for systems to communicate with OvrC.
“The OvrC Pro technology analyzes the network, it understands a lot more of it,” he says. That knowledge isn’t just in the software, but also carries over to Snap One’s hardware devices, such as its new routers launched earlier this year.
Snap One is ready for the future
Kim says Snap One is investing its R&D to help realize that future, but not just in obvious areas like AI capabilities, cloud infrastructure and hardware improvements, but also investing in data security and privacy. to ensure that it can protect customer data.
“We continue to improve our interoperability program to ensure we can work seamlessly with the products and services customers love. And we’re evolving the portfolio of tools for our partners so they can maximize their growth and profitability with these changes: Control4 Composer Pro enhancements to improve efficiency, OvrC Pro activation on Control4 controllers, notification enhancements OvrC and wireless network management in OvrC. We are very excited about what lies ahead for our industry and what it means for our partners and customers,” he says.
“Dealing with so much data from all these different devices, it’s going to be very important that we protect that data, make sure it goes through all the protections, that it’s secure, private, and owned by the end customer. It’s things that we invest in. We are constantly looking to protect that as we develop these features that leverage data,” he concludes.