How Stratix Is Using AI to Improve Mobility Operations
Video
AI, as everyone knows, has tremendous potential. And it’s making devices that are already proliferating at a massive rate out in the field even more and more powerful. And the network connectivity that’s behind it, the emergence of 5G and soon to be 6G, is just empowering that technology even more so. It situates Stratix really, really well because these devices are even more critical because they’re able to do more things.
They’re able to perform more advanced functions for people that are working out in the field. And that creates more demand for those devices, and Stratix is able to help keep the devices up and running and supporting mission critical needs.
For Stratix, AI isn’t a shiny object. It is real and it is revolutionizing businesses, and we certainly want to be on the forefront of that. So we are looking at AI a lot internally, as a lot of companies are. And that can start with generative AI. And we’re using it a lot for different functions to streamline processes, to eliminate manual tasks, to help generate content in some regards.
You have to put in the work to train it and teach it and give it the data it needs to actually perform. But there’s a lot of use cases for us internally to leverage AI and we’re doing that. And then externally, there’s a lot of things we can do, and we’re exploring now to give our customers access to AI. So itrac360 is a proprietary asset management tool that we leverage and we have a tremendous amount of data there as well on device history and breakage rates and all sorts of things. It answers a lot of the what and where questions today: what do I have? Where are my devices? What are they doing?
But putting AI on top of that can make not just the ability to find information more simple, but the ability to look proactively at what could happen next to my device ecosystem and what are the common trends and how do I get ahead of those. So that’s the power of AI that we feel like could be really leveraged within itrac.
And then there’s a lot of things around natural language processing that could be beneficial with our help desk and help supplement our help desk agents just to be more efficient in how we’re handling and solving and triaging issues over the phone.



