Success in today’s Internet of Things (IoT) marketplace requires unique combinations of hardware, software and security delivered in a timely manner to solve complex technical requirements. According to a new announcement, entrepreneurs and creators now can expect to have a new solution that leverages Artificial Intelligence (AI) to help speed the development process through a new product being developed by Avnet, a global technology solutions provider, and Octonion, an Intelligent Edge IoT software provider.
The two companies reportedly are creating a category of IoT solutions called “Meta-Sensing” that combines hardware and software that will allow engineers at any level to develop and deploy IoT solutions built with AI in as little as six to eight months. The first Meta-Sensing product, SmartEdge Agile (News - Alert), that will be built by Avnet and powered by the STM32 from ST Microelectronics, is an IoT device integrated with Octonion’s Brainium AI software designed to enable AI and security at the edge.
“Today, the majority of industrial companies planning to launch an IoT project are in the prototype phase, with each project usually taking 18 to 24 months. To help reduce time to market and related costs, developers are turning to AI technologies, but require new approaches to be successful,” said Lou Lutostanski, global VP, IoT, Avnet. “Together, Avnet and Octonion are creating an industry-leading Meta-Sensing IoT solution that will quickly and cost efficiently allow customers to take their IoT project from idea to design, and prototype to production. It’s a perfect example of Avnet’s unique product development ecosystem in action.”
“We’re very thrilled to work with Avnet who recognizes our AI software expertise and offerings,” said Cédric Mangaud, CEO, Octonion. “We’ll be able to support customers across different verticals with our pre-industrialized Brainium platform, which has already been proven effective in the sports industry. I’m confident that this new Meta-Sensing approach in the market will help developers and enterprises alike speed up the deployment time of their IoT projects at a reduced cost.”