Edge computing is a new advancement of cloud and IoT with several promising solutions across several industries. It’s impact on how data is processed at the edge of a network rather than centrally gives rise to interesting possibilities. Here are some edge computing use cases worth knowing.
Cities are fast becoming centres for the collection, storage and analysis of data. This allows for a faster response time, but the data must first be analysed before it can be used. Edge computing allows for devices to respond to changing conditions in near real time.
In order to drive safely, driverless cars will have to collect, store and analyse large amounts of data relating to the weather, their surroundings and communication with other vehicles on the road. Edge computing makes it possible to share data between vehicles in real time with almost no latency.
With the aim of providing specialised services to customers, there is increased adoption of edge computing. ATMs and kiosks are broadening their range of services to include this, as they too gather and process data. This can also impact high finance by shaving of milliseconds of lag leading to increased profits.
Edge computing is already being integrated into healthcare and offers many new opportunities in wellness and patient care by making it easier to reach difficult to access areas and generate data for in real time deployment for preventative diagnosis and care.
The manufacturing industry has possibly the highest value outcomes with edge computing as it leads to better insights from data while also promoting energy efficiency, saving billions in costs and consumption by streamlining production facilities and optimizing output.