The emergence of open-weight models alters the economics of the application layer. The models allow telematics providers to deploy inference engines without the prohibitive training costs associated with proprietary systems.“ Look at open-weight models,” Neil says.“ Eighteen months ago, the best model in the world was closed and cost hundreds of millions to train. Today, you can run something comparable on a laptop. That’ s huge. It levels the playing field.”
The democratisation of intelligence allows for the deployment of AI closer to the network edge.“ That’ s the kind of revolution we like – it fits with how the internet was supposed to work,” Neil states.
Future iterations of the telematics stack will likely replace dashboard interfaces with natural language processing, powered by these models.“ Bringing that capability to telematics will open up a whole new world,” Neil predicts.“ You won’ t need to know how to use a particular user interface. You just have a conversation with the system.”
The convergence of the software-defined vehicle and the software-defined network aims to provide transparency.“ Creating complete supply chain visibility is another existential duty for us at Geotab and an exciting one,” Neil says. telcomagazine. com 75