At the edge
The uniqueness, and the result of 7 years of machine learning research at the University of Borås in Sweden, is the ability to do incremental learning on streaming sensor data onboard the device.
The benefits are significant. You can process all the high-frequency sensor data in real-time. More sensors equals more data, and the only way to manage this flood is through a layered approach that starts by the data source. You can take instant actions. You learn and act based on the normal condition of the individual device. You radically reduce network load by not sending raw data, but rather sending relevant and enriched data to the cloud for further analysis. Your connected things become autonomously smart and less dependent on the quality of the network connection.
IDC: ”By 2019, 40% of digital transformation initiatives – and 100% of IoT initiatives – will be supported by AI capabilities.”
Ekkono is a software company. We license embedded software and the tools to make connected things smart. Machine Learning will not be used for one feature, but to make virtually all functions self-aware and predictive. This is why we empower product companies to do it yourself, using our tools. Our toolkit facilitates use cases like predictive/condition-based maintenance, self-configuring products, performance optimization, and entirely new business models. With Ekkono you can harmonize on one solution for all your edge machine learning needs.