Making Sensors AI Smart is Easier Than You Think
While IoT projects have traditionally relied on Cloud applications analyzing data captured by sensors, we see a rapidly emerging trend where new solutions leverage AI smart sensors that can understand and analyze data at the edge. Production Managers prefer such new solutions because they can be deployed significantly faster, at a fraction of the cost of previous generation solutions and without the need of AI experts on board. NanoEdge AI by Cartesiam, enables any device built on Cortex M architecture to learn and analyze. This technology can be implemented on a new device in a matter of weeks and doesn’t require Data Scientists. This presentation will explain how Cartesiam’s clients can build a new ML library and embed it into their own code, hence enabling their devices to build unsupervised neural network and to deliver value that was once exclusively captured by AI Cloud vendors.