Edge computing allows the healthcare sector to store this patient data locally and improve privacy protection. Learn more about edge computing in energy > HealthcareĮdge devices monitor critical patient functions such as temperature and blood sugar levels. Edge computing helps the industry improve operational efficiency, keep its workers safe, and forecast when maintenance work needs to be undertaken. Rig operators commonly deploy edge artificial intelligence to detect hazards and optimize and inspect their pipelines.

EnergyĮnergy companies use edge computing to collect and store data on oil rigs, gas fields, wind turbines, and solar farms. Edge computing is critical technology for ensuring their safety and ability to accurately judge road conditions. They require real-time data processing for instant response and cannot rely on a remote server for split-second decision-making.Īdditionally, autonomous vehicles interact more efficiently if they communicate with each other first, as opposed to sending data on weather conditions, traffic, accidents, or detours to a remote server. Learn more about edge computing in manufacturing > Autonomous vehiclesĪutonomous vehicles like self-driving cars are fitted with several IoT sensors that collect large amounts of data every second. Manufacturers utilize edge computing solutions to enable automation, collect data on-site, improve production efficiency, and allow rapid machine-to-machine communication. The proliferation of Internet of Things (IoT) devices such as sensors and gateways has made edge computing systems prevalent in the manufacturing industry. The high speeds and low latency of data transfer, combined with the relative ease of installing edge devices, have seen edge computing widely used across industries. This significantly reduces the chances of suffering from operational downtime caused by network or connectivity disruption. By setting up an edge computing environment, enterprises ensure that their operations reliably process, analyze, and store data. Reliable performanceĮdge computing often takes place in remote areas where internet connectivity is scarce. Depending on how much data your business sends and processes, this could significantly save operating costs. The edge computing model allows you to decrease the amount of data being sent from sites to data centers because end users only send critical data. Sending large quantities of data from its origin to centralized data centers is expensive because it requires more bandwidth. Establishing compute and data storage capabilities at the network edge helps enterprises collect and transmit data from distant oil fields, industrial zones, and offshore vessels. It is challenging to collect data from places with unreliable connectivity and bandwidth. Edge computing can be teamed with artificial intelligence and machine learning tools to derive business intelligence and insights that helps employees and enterprises perform more productively.

By analyzing data collected at the source, organizations can improve areas of their facilities, infrastructure, or equipment that are underperforming. Increased productivityĮnterprises improve operational and employee productivity by responding more quickly to information.

Enterprises also use edge computing to comply with data sovereignty laws, such as the General Data Protection Regulation (GDPR), by keeping any sensitive data close to the source. Any information that needs to be sent back to the data center can be encrypted before transmission. With edge computing, the majority of data is processed and stored locally. If a production incident makes it unsafe for that robot to keep operating, it needs to receive that information as fast as possible so it can shut down. Take the example of a piece of robotic machinery on a factory floor. In many industries, technology demands almost instant transfer of data. Here are some benefits of edge computing. When appropriately used, edge computing has the potential to help organizations improve safety and performance, automate processes, and improve user experience. More than ever, organizations need instant access to their data to make informed decisions about their operational efficiency and business functions. Edge computing is becoming more popular because it allows enterprises to collect and analyze their raw data more efficiently.

Edge processing