If your organization is experiencing poor network performance, it can result in productivity issues. And if it relies on reliable network performance, it will directly impact your organization’s productivity.
A poor-performing network can negatively impact employees’ ability to perform daily tasks. This can lead to damaged customer relationships that result in lost revenue.
If your organization operates in an edge computing network environment, deploying AI technology into the network will help improve its performance and productivity.
Coeo understands how important reliable network performance is and has helped thousands of organizations improve their network performance by deploying network services and solutions.
By the end of this article, you’ll understand what it looks like to deploy AI technology in an edge computing network environment, what the benefits of doing so are, and whether it is a good solution for your organization.
What deploying AI technology in an edge computing environment looks like
An edge computing network environment is when all or part of the applications within the network are stored on or near the organization's premises.
Using AI technology in an edge computing environment places AI models and network processing systems closer to the source.
This enables the network to process closer to the end user instead of having to send and receive data via a centralized cloud resource.
If you would like to speak with our team to learn more about AI technology and network performance or ask any questions you may have you can schedule an appointment.
The benefits of deploying AI technology in an edge computing environment
Now you understand what it means to deploy AI technology in an edge computing environment. However, it is also important to understand the benefits of these deployments to determine whether this is the right solution for your organization. These benefits include:
Improved network speeds
Implementing AI to automatically process data at the edge of the network will result in improved network speeds and reduced latency.
Processing the data on-premises improves the speed of the network because the data is computed closer to the source instead of having to be sent to and from the centralized cloud.
Additionally, AI technology automatically processes and computes the data so your organization does not have to rely on manual processes that take more time and cause network latency.
Improved reliability and availability
Another benefit that AI technology brings to an edge computing network environment is improved network reliability and availability.
Edge AI systems continue operating and automatically make decisions even when central systems are unavailable resulting in improved network reliability.
Better scalability
Deploying AI technology in an edge computing environment enables you to improve scalability and distribute the technology across all edge devices.
This allows you to scale more effectively than a central source enabling you to better accommodate growing data volumes and additional endpoints being added.
Enhanced privacy and security
Using AI technology in an edge computing network environment enables you to enhance network privacy and security. Keeping sensitive data on the premises of your organization at the edge of the network reduces the risk of vulnerabilities.
Additionally, deploying AI technology to an edge computing environment enables you to set security policies that are automatically applied to data and applications within the network resulting in enhanced privacy and security.
Cost savings
Using AI technology in an edge computing network environment reduces the need for centralized data processing. As a result, your organization can save money by lowering operational costs such as cloud service fees and provider expenses.
Is deploying AI technology in an edge computing environment a good solution for your organization?
Now you understand what deploying AI technology in an edge computing environment is and the benefits of doing so. However, it is also important to understand whether it is a good solution for your organization.
If your organization is looking to improve overall performance including increasing network speeds and improving reliability and availability, deploying AI technology in an edge computing network environment may be a good solution for your organization.
Additionally, if your organization is looking to improve network scalability in an edge computing network environment, deploying AI technology may also be a good solution.
Deploying AI technology into your edge computing network environment may be a good solution if you have data and application vulnerabilities and are looking to improve network privacy and security.
Lastly, if your organization is looking to reduce costs on network infrastructure and management, deploying AI technology into your edge computing network environment may be a good idea.
Conversely, if your organization relies on the cloud environment, or wants to have your network managed by a third party, a cloud network solution such as SD-WAN or SASE may be the better choice.
Deploying AI technology in your organization’s edge computing network environment
Now you understand what deploying AI technology in an edge computing environment looks like, the benefits of doing so, and whether it is a good choice for your organization.
This will enable you to determine whether your organization should invest in AI technology for your edge computing network environment.
No organization can afford to experience a poor-performing network. A poor-performing network will result in productivity issues if employees rely on network operations to perform daily tasks.
Deploying AI technology in your organization’s edge computing network environment will help improve network performance and reliability resulting in better productivity.
Coeo understands how important a reliable network is and has delivered thousands of network services and solutions to organizations to help improve their network reliability and performance helping avoid productivity issues.
We want you to understand what deploying AI technology in an edge computing environment looks like and whether it is a good choice for your organization.
If you would like to speak with our team to learn more about AI technology and network performance or ask any questions you may have you can schedule an appointment.
Now that you understand the benefits of deploying AI technology in an edge computing environment, check out this article to learn the differences between edge computing and cloud computing:
