Edge AI and 5G: A Powerful Combination for the Intelligent Edge

While still a relatively new technology in the grand scheme, 5G can potentially transform edge deployments—especially where AI is concerned. Its improved security, connection reliability, options for scalability, and low latency make this evolving technology a perfect fit for edge deployments, and 5G allows companies to place devices in previously inaccessible places. 

Security is a constant concern for edge devices across organizations of all sizes. While edge deployments that leverage AI enhance security by processing all data locally on the device, 5G's robust security standards further enhance data transmission for long-term storage or deeper processing. Pair this with the reliable, always-on connection offered by 5G, and you have new possibilities for constant connectivity and real-time data without compromising security. 

The proliferation of 5G across the globe also enables faster scaling, more seamless updates, and compliance enforcement for all devices — not just those with access to Wi-Fi. 

5G as an Enabler for the Edge

Currently, most organizations rely heavily on constant connectivity via Wi-Fi, which is fine when all your hardware is confined to a single location. But what happens when you want to deploy hardware outside of a physical location? I’m thinking about smart cities requiring remote cameras and wayfinding kiosks. Or mobile medical units that would allow EMS clinicians to perform more in-depth scans from anywhere. Or field service technicians that may be on a construction site without an established internet connection. 

5G solves all of these scenarios (and many more!). Devices operating in remote locations are no longer isolated from the company network or direct communication but benefit from real-time connectivity (pending network infrastructure and availability, of course). The benefits here are numerous — the ability to deliver security patches, updated AI models, or any other software is critical for edge deployments. Device tracking and compliance enforcement are an added bonus.

Scalability for the Modern Device Fleet

When people think of “edge device deployments,” they often think of tablets, smartphones, kiosks, point of sale systems, etc., deployed to a single location — usually a building. While accurate, this doesn’t encompass edge deployments at scale, especially for companies that deploy devices dispersed across a wide area or in rural locations. That’s where 5G truly shines. 

5G’s ability to provide remote access and control across a wide network reduces the need for on-site visits, improves compliance, and enables faster scaling. With the ability to deploy AI models, application updates, security patches, operating system updates, and configuration changes over a 5G connection, organizations have the flexibility to update or modify their device fleets in real time from anywhere — regardless of device location. 

Patch Management and Reliable Updates for All

Timely patches, updates, and configuration changes are critical for any organization with a device fleet. And believe me, it’s a challenge regardless of the network setup (we see it all the time) — it’s just exponentially complicated for companies utilizing devices in challenging environments or remote locations without reliable network infrastructures. 

A 5G connection simplifies reliable patch management, application and system updates, and configuration changes. Its stability and high-speed access enable connectivity for even the most remote devices. This extends to AI model deployments at the edge, where a 5G connection allows companies to routinely deploy updated models to ensure accuracy and timeliness in real-time decision making processes. 

Challenges Associated with the Edge and 5G

As beneficial as 5G edge deployments are, they’re not without challenges. From deployment to infrastructure setup, here are a few of the biggest hurdles to consider. 

Private 5G Networks are Still in Their Infancy

When you think of 5G, you probably think of the big carriers provider 5G services to a global community. However, for organizations with edge deployments in congested areas, that means lots of competition for bandwidth. That’s where private 5G networks come in. Basically, a private 5G network is a nonpublic network of subleased spectrum. This essentially locks the spectrum for your specific use, so there’s no competition for bandwidth. 

The biggest issue is that private 5G networks are still costly, making this a viable option for only the largest companies. The good news is that costs are expected to decline as adoption increases. 

Security Threats

Is 5G inherently secure? Yes. Does that mean it is without potential vulnerabilities? Absolutely not — especially for dedicated devices. Spoofing is a potential security risk, especially for edge devices utilizing AI models. It involves an attacker impersonating or gaining control of a device to intercept or send data. The risk of spoofing increases with remote deployments, as they’re less likely to be under constant surveillance. 

Hardware Compatibility

This one might be true for all deployments, but hardware compatibility with modern networks is a consideration. Given 5G’s relatively new status on the scene and many organizations’ desire to keep equipment working for as long as possible, there is a conflict here. Hardware upgrades via add-on components are possible, but that’s often more costly than it’s worth. 

5G is the Scalable Solution for the Intelligent Edge

As modern organizations explore the intersection of 5G, edge deployments, and AI, there is potential to unlock new levels of connectivity, security, and scalability. While there are challenges surrounding deployments and cost, the potential for real-time decision making, predictable patch management, and scalability across a distributed device fleet makes 5G a perfect pairing with the edge across industries. From smart cities to healthcare and everything in between, companies looking to future-proof operations should consider these technologies necessary.