As per Nigel Moulton (CTO, Dell), “The impact of industrial revolution 4.0 will reach 2.9 trillion Euro”
What drives edge computing is the exponential growth of IoT (Internet of Things) and other real-time applications? Edge computing when combined with fast network technologies (Wireless 5G) is capable of transforming data’s handling and processing that is generated from millions of devices globally and can power & support real-time applications such as robotics, video analytics, self-driving cars, etc.
What Is Edge Computing?
As per Gartner,” Edge computing occurs when data computation and storage is closer to the devices which produces them rather than its dependency on a central server located miles away.” Since the data processing is done locally in real-time, it prevents any latency (capable of affecting an app’s performance) and acts as a cost-effective option for companies who otherwise invest big time (monetary) to process humungous data in a cloud-based location.
Why Edge Computing Is Important?
The impact of the Internet of Things (IoT) and cloud computing already has a deep impact on the manufacturing industry as it has led to an increase in automation and data generation. The data generated now needs to be processed so that the companies can make use of it to optimize the operations. This calls for real-time analysis, which is a core expertise of edge computing. It processes the data at the periphery of the network.
With 5G acting as a catalyst for edge computing, the future is all about low latency and high bandwidth devices that will need support from edge computing infrastructure. Here’s how edge computing will prove beneficial in the longer run:
- Companies currently find it challenging to meet the cost necessary to maintain the bandwidth for their applications. With edge computing architecture in place, companies can now take care of their expenses and save big time.
- Edge computing processes the data faster which means the applications can load and perform at a much faster rate. Initially, cloud servers took more time, which hampered the user experience. Today data is processed on edge servers, gateway, or even on a smartphone which empowers the company with great speed.
- Instant computing and the quick real-time response rate are essential for the growth of new systems that deploy AI. The algorithms of AI need huge data processing thus edge computing has the ability to support modules that work on AI functionality.
Conclusion
Edge computing USP includes its real-time insights and accessibility at a smaller & mid-size level (besides enterprise level). Edge computing pushes the higher usage of open-source software and data sharing which is essential for agility and innovation in the manufacturing industry. Thus, if you are looking to optimize the industrial process with the help of edge computing within your company then Winjit can offer the most innovative and cost-effective solution. You can share your requirements with our experts so that they can come up and propose the best strategy for you. Call us today!
