No modern business can thrive without data. Why? Because data is the lifeblood of any business in today’s online digital world. It provides valuable insight and helps support critical operations and business processes.
While there’s no refuting the importance of data in businesses today, organizations are flooded in an ocean of data. From collecting massive amounts of data from sensors to accessing all kinds of IoT devices operating across the world, businesses are having a tough time handling all of it.
Enter, edge computing.
“As IoT and digitalization of business grow, there are increasing challenges at managing large amounts of data. One of the solutions to manage this growing data load is to use edge computing. Our partnership with Lumen to support local SFL business has been instrumental in our growth over the last 12 months”, say Emilio Diaz, Founder of nQuery Communications.
What is Edge Computing?
It is a computing technology that enables data to be processed and analyzed at its source rather than being processed from within a cloud or from a data center. Organizations that use edge computing do not need to upload their data to the cloud or to any centralized data processing system. With edge computing data is integrated into edge devices, also known as edge nodes.
Surveys predict that by 2025 almost 75% of enterprise-generated data will be created and processed outside the cloud. As of today this data stands at around 10%.
But Why Edge Computing?
Almost 90% of enterprise-generated data today exists in the cloud. The problem is that when being processed in the companies’ data centers and in the cloud, the network bandwidth reaches the limit. This produces data agglomeration, slow response time, and excessive costs. How can companies solve this? And, why should they do it?
Edge computing enables data produced by IoT devices to be processed to closer to where it was created rather than send over long journeys to reach data centers and clouds. Instead of traveling to the cloud, data is processed analyzed and filtered directly on or near the device.
Edge computing allows organizations to obtain numerous benefits, such as latency reduction, real-time data analysis, lower bandwidth consumption, greater security and privacy, less data storage in the cloud and company servers, reduced IT footprint, lower energy consumption, fewer bottlenecks in data traffic.
Let’s Discuss How Edge Computing Solutions Can Help Your Business
Some Major Benefits of Edge Computing
- Reduced Latency
Edge computing enables increased processing speed in response to changes and situations. Some examples include biometric monitoring of health issues, situations that require under 10 milliseconds latency, or automated control of drones. When data does not have to travel over a network to a cloud or data center, latency is reduced with faster response times and better user experiences.
- Bandwidth and Data Filtering
Organizations that use edge computing do not need to send all the data. They only send what is important. An edge device is able to filter everything by the important data and send alerts to centralized data centers reporting the problem. This is a more efficient model. It not only reduces IT footprint but also lowers cost.
- Acts On Data At Source
Edge computing brings enterprise applications closer to data sources. These sources could be IoT devices or local servers. The advantages this proximity to data at source brings include, improved response time, better bandwidth availability, improved user experiences, lower costs, and reduced risk. This also helps organizations minimize their IT footprint as well as optimize real estate and energy costs.
- Offers Improved Security
As technology revolutionizes our world, security needs have increased. With edge computing, since your data is closer to its source there is a greater scope of keeping it safe from security attacks, which includes extortion. Edge computing provides seamless and high-fidelity threat intelligence that keeps data protected and provides better user experiences.
Self-driven cars, industrial manufacturing, traffic lights, smart thermostats, indoor farming, biometric health monitoring, all acquire a lot of data. Latency problems that cause even nanosecond delays could spell disaster and have serious consequences.
“As more of our lives and businesses depend on real-time data and instant interaction to embedded devices, it is imperative that business start the process of aligning themselves with vendors and partners who can deliver on this promise. For us, we have selected Lumen as our go-to market partners to best service our client base” Emilio says.
The solution? Edge computing. It is the next step to your digital transformation.