Swim.AI’s smart city application will integrate with existing urban infrastructure to gather and interpret local data
Edge intelligence software firm, Swim.AI, has announced that its EDX software platform is ready for third party development on the Itron IoT edge router, enabling advanced smart city, smart utility and IoT applications.
As an increasingly wide array of devices operate at the edge of the network, the volumes of information that need to be rapidly analysed and acted upon is expanding exponentially. Recent analyst predictions forecast there will be over 20 billion edge devices by 2020 producing over 54 exabytes of data.
Today, only a small subset of edge data is used – and is normally sent to central data-lakes or clouds for traditional big-data analysis – making real-time applications and decision-making challenging.
Since introducing EDX in early April, Swim.AI has worked with a number of innovative companies to address the needs of a variety of industries to analyse, reduce and learn from data at the edge. Earlier this year it partnered with US traffic signal control technology company, Trafficware, to launch a live streaming traffic information service powered by machine learning and edge computing.
Itron has more than 200 million intelligent devices deployed, including smart meters and IoT networking technology. It said its customers are increasingly looking for better ways to manage and act on edge data and believes the partnership will help to power “the next generation” of smart city, smart utility and IoT devices.
EDX software runs on existing edge devices, forming a powerful edge compute ‘mesh’ that enables local data ingestion, data reduction, data analytics and machine learning on streaming edge data. It also uses machine learning to produce “digital twin” models that self-train from real-time data to represent real-world objects and predict future behaviour. EDX software is extremely lightweight and able to run on existing edge equipment.
Swim EDX solutions include:
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