Ravi Soni is the Global Industrial Manufacturing Solution Leader at Amazon Web Services and a multidisciplinary leader in technology. Read Ravi Soni's full executive profile here.
Edge computing involves processing and storing data close to the data sources and users. Unlike traditional centralized data centers, edge computing brings computational power to the network's edge, helping to enhance performance and enable real-time insights. In manufacturing, this means placing computing resources near machinery and production lines to analyze data and make decisions on-site quickly.
Because of their overlapping capabilities and the complementary nature of their functions, functions of edge computing can be confused with functions of cloud computing. Cloud computing centralizes data processing in remote data centers, which can lead to high latency and bandwidth costs. Edge computing, however, decentralizes processing by bringing it closer to the data sources.
Although manufacturers commonly deploy edge computing to enhance production efficiency and quality control, there are certainly other sectors using it today. Technology providers offer tailored edge computing solutions and platforms, supplying both hardware and edge run-time to manage various workloads.
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