Edge AI provides a solution for the ever-growing amount of data in manufacturing and process industries. For example, Gartner predicts that by 2025 as much as 75 percent of all enterprise generated data will be analyzed outside the traditional data centers or cloud. Grand View Research estimates that the total global edge computing market will grow 37 percent per year and will be worth $ 43.4 billion by 2027.

In practice, Edge AI is a combination of Edge Computing and Artificial Intelligence. Algorithms are processed locally, either directly on the machines on the production line or on the nearby server. The algorithms utilize the data generated by the machines themselves, gathered with different sensors. This way, machines can make independent decisions in a matter of milliseconds without having to connect to the Internet nor the cloud.

And when it comes to ROI, Edge AI also has an advantage over other types of AI. Use cases are often more concrete, because Edge AI solutions are installed at a certain point of the production process. Edge AI cases relate directly to the ground level production, and the value of the solution is easy to measure. The goals are particular and detailed, compared to common AI goals such as improving customer experience or customer service.