What exactly is Edge AI and how does it work? from Povubo's blog

Edge AI is a combination of artificial intelligence and edge computing. A cloud database paradigm, "edge computing," moves data storage and computation closer to the device.

The data generated on the device, whether or not it has an internet connection, is processed by artificial intelligence algorithms. Because of this, data may be processed quickly, giving real-time feedback.

Edge AI is a framework that analyzes data produced locally by a physical device using machine learning techniques.

The machine learning methods used in Edge AI are executed right at the edge. Edge computing directly processes data and information at the IoT unit or device. Because of its intrinsic benefits, such as real-time insights, low bandwidth, high speed, etc., edge computing is expanding quickly.

The machine learning techniques used in Edge AI systems can be run on current CPUs or even less powerful microcontrollers (MCUs) in edge devices. As a result, edge AI offers higher performance while also consuming less energy compared to certain other applications that use highly effective AI devices.

Many machine learning algorithms are combined into edge AI software, which is operated on actual hardware. Running AI algorithms on a local machine or device is the idea. Because Edge AI software does not rely on other systems or internet connections to connect to others, users can access data in real time.

Edge AI may operate on various hardware platforms, including basic MCUs and cutting-edge neural processing units. Machines and IoT devices are two types of edge AI hardware.

Devices with edge AI connectivity employ embedded algorithms to track their behavior and gather and interpret their data. As a result, the devices will make decisions, automatically fix issues, and forecast performance in the future. All of this is done without the involvement of any people.

Edge AI gadgets include smartphones, laptops, and Smart Driving vehicles. But that is not all. There is another technology known as cloud computing AI as well. Companies and individuals use hybrid cloud computing. But what exactly is the difference between the two and how do you know which one is the best.

Have a look at the comparison between Edge AI and Cloud Computing AI.

An Edge AI system handles all gadgets and machine data at the asset level compared to cloud-based AI solutions, which process and store all data in a cloud environment. Edge AI-enabled devices are independent decision-makers that can properly process data and information without an internet connection. The only equipment needed for Edge AI applications is a gadget with a CPU or sensors. On the other hand, there is the presence of personal cloud server used by individuals.

Edge AI represents a powerful new paradigm in computing, combining the insights of artificial intelligence with the speed and agility of edge computing. By processing data locally, edge AI enables real-time feedback and decision-making, even when internet connectivity is limited or nonexistent. Edge AI software and hardware can run on various devices, from basic MCUs to cutting-edge neural processing units. Edge AI blends edge computing with artificial intelligence to power everything from smartphones and laptops to smart driving vehicles. While cloud-based AI solutions have their place, edge AI offers unparalleled performance and energy efficiency, making it an increasingly attractive option for companies and individuals. We expect exciting new developments with the continued growth of edge AI and hybrid cloud computing.

LatticeWork is a company which addresses storage, privacy, and bandwidth challenges stemming from the rapid growth in data and video consumption. Its technology comprises a primary cloud service, AmberCloud, which integrates on-premises and edge devices as members of a larger cloud service.  The company's flagship offering, Amber, is the first AI-powered smart storage device in the world that delivers a personal hybrid cloud to users. Amber provides users with unprecedented data privacy, convenience, and control.