A Look at the Advantages of Edge AI In The Cloud: What Businesses May Be Missing

Cloud computing is taking industries by storm. Suddenly, everyone is working in the cloud. From storing and managing data to collaborating remotely on projects, cloud technology is helping businesses find, create, and implement innovations.

Just when you think technology advancements are slowing down, a new buzz phrase pops up. Now, Edge AI is dominating conversations and not only in IT departments. So, what are the top benefits of edge AI in business, and is it something that works with your cloud ecosystem?

What is Edge AI? (and How it Works with a Business Cloud)

Edge AI isn’t a complicated process or difficult to understand. You don’t even need to be a tech whiz to understand the concept. Edge AI, in its simplest terms, means bringing your data processing closer to the user. Data is processed on the perimeter of your network so you can easily access the information in real time.

For example, a power company wants to know how many kilowatts of power are currently being used by customers. They can access the information in milliseconds, allowing the power company to make any changes to the grid before an interruption occurs.

So, how does an Edge AI work in the cloud? Edge AI works simultaneously with the cloud to boost everything from data processing to responsiveness. In a sense, Edge AIs make the cloud a little more efficient.

Industries That Can Benefit From Edge AI

Pretty much every industry can benefit from Edge AI. An exception may be smaller companies like a mom-and-pop retail store with only one or two employees. They may not even use cloud-based technologies or store consumer data beyond a point-of-sale (POS) system.

Manufacturers of IoT and Wearable Devices

Did you know statistics predict an estimated 29.42 billion IoT devices will be on the market by 2030? This is close to doubling the number of devices sold in 2023. While industries make up around 40% of the predicted usage, consumers are the primary buyers.

Smartwatches, programmable thermostats, security systems, and smart speakers are a few examples of these devices. Healthcare providers are also turning to IoT to help with patient monitoring. All of these devices depend on accessing data in real time.

Virtual and Augmented Reality

Devices that create virtual worlds and experiences must have technology with low latency and plenty of power to process complex streams of data. Edge computing can take care of this and more. Edge computing can allow multiple players to participate remotely in virtual reality.

Self-Driving Vehicles

Autonomous vehicles are no longer relegated to science fiction books and movies; the technology is here and being tested on city streets. However, to ensure the safety of everyone around a self-driving vehicle, information is critical. The vehicle must be able to receive and process data in milliseconds. There can’t be any delays.

Improve Traffic Flow

We already have smart homes, so why not expand to smart cities? Edge AI can analyze traffic patterns to ensure a smoother flow with fewer backups.

Improve Consumers’ Experiences

Consumer experience is something marketing experts work diligently to improve. Their goal is to help ensure everything goes smoothly for consumers from the minute they enter a store to checking out. This also applies to online retailers. Their marketplaces must flow smoothly and be easy to navigate.

Edge AI can analyze customer behavior to help create a customized experience. Whether it’s always being able to find a favorite item to ensuring a fast and seamless checkout.

Advantages of Edge AI in Business Applications

You already have a general idea of some of the advantages of edge AI in cloud ecosystems. Just learning how Edge computing can benefit a few industries shows you some of the reasons why industries are embracing the technology.

Some additional advantages Edge AI can provide include lowering latency and boosting bandwidth. Both of these are critical for several applications. Wearable device users depend on having accurate data at their fingertips in real time. With latency speeds averaging around 10ms or less, data is always available as needed.

Bandwidth refers to processing speeds and often goes hand-in-hand with latency. If your bandwidth is low, your latency is going to suffer. Since Edge AI brings your data processing closer to your network, bandwidth is automatically improved. To better highlight the benefits, here are the reasons why Edge AI may be the right move for your business.

Improve Analytics

Without data, it’s hard to make effective business decisions. After all, you don’t want to guess and hope for the best. Edge AI builds off cloud technology’s ability to collect and analyze data. Edge technology speeds up the process, delivering results in real time.

For example, you’ll know if you need to increase production or slow the line down. For businesses that need to react to changes quickly, this can be an invaluable advantage.

Easily Scalable

You already know the cloud is scalable, and this also applies to Edge AI. You can add and subtract Edge devices as needed according to your tasks. Best of all, adding new Edge devices doesn’t place a strain on your network. This means responsiveness isn’t affected. You still enjoy low latency and plenty of bandwidth.

Power New Innovations

Cloud models aren’t equipped to handle large or bulky applications. Yes, there’s a limit to what you can accomplish in the cloud. However, Edge AI removes some of these barriers, opening up the possibility for new applications. Some examples include automating some industrial applications to remotely monitor patients’ progress.

Taking Advantage of Edge AI in Business Cloud Environments

You may feel like the cloud has everything under control. Efficiency is up, and collaborations between team members are going smoothly. Your data is safely stored offsite so why do you need additional technologies? Edge AI is something almost every business can benefit from.

Issues with latency and bandwidth are resolved, along with gaps that can prevent new applications from advancing. Regardless of your industry, there’s a good chance you can benefit from Edge AI.