The story of the journey of data in the 21st century has been eventful. First, data made the shift from on-premise data centers to the cloud. Now, it is moving towards 'edge' points located close to the source of data generation. The dual foundations of Edge AI lie in Edge computing and Artificial Intelligence, two innovative technology trends that have taken the world of business by storm.
Edge computing brings processing, computation, and storage of data closer to where it is generated and collected instead of relying on moving it to a remote location such as a cloud. Edge computing reduces the dependency on bandwidth and curbs long-distance communication between servers and clients. Goodbye latency.
That's a strong value proposition in itself. Now imagine combining that with the power of AI.
In this article, we will discuss the nitty-gritty of Edge AI and why it can become important for modern enterprises.
Edge AI combines the goodness of Edge computing with Artificial Intelligence. With Edge AI, AI algorithms are locally executed on a, usually remote, hardware device using the data acquired from Edge computing. This device consists of a microprocessor and sensors. Since the data is obtained and processed without using any internet connection, the process happens in real-time and at the exact spot where it can have the most impact.
Edge AI helps in replacing the conventional processing residing on cloud-based data centers that demand heavy computing capacity by making it a part of the AI workflow on a local device.
Edge AI facilitates real-time operations and reduces power consumption as well as data costs since the device doesn't need to be connected to the internet at all times.
While Edge AI is transforming the way IoT devices deliver value, it is also creating a monumental difference in the way enterprises do business. According to a report by Markets and Markets, the global Edge AI software market size is expected to grow to USD 1152 million in 2023.
As enterprises surge towards embracing ever-more contemporary digital technologies, entwining Edge and AI promises many benefits.
Let's discuss why enterprises should be caring about Edge AI if they aren't already.
According to a report by Tactica, the shipment of AI edge devices is expected to grow up to 2.6 billion units by 2025. Several research reports show that AI is becoming more mainstream. As both these technologies mature, Edge AI looks set to enter diverse industries through an array of use-cases. This is the time for visionary enterprises to get serious if they want to be at the vanguard of an exciting new movement!
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