Edge Intelligence: From Theory to Practice

Price: $69.99 – $47.77
(as of Dec 14,2024 01:40:37 UTC – Details)

Publisher ‏ : ‎ Springer; 1st ed. 2023 edition (May 14, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 264 pages
ISBN-10 ‏ : ‎ 3031221540
ISBN-13 ‏ : ‎ 978-3031221545
Item Weight ‏ : ‎ 13.1 ounces
Dimensions ‏ : ‎ 6.1 x 0.6 x 9.25 inches

Edge Intelligence: From Theory to Practice

Edge intelligence is a cutting-edge technology that brings the power of artificial intelligence and machine learning to the edge of the network, closer to where data is generated. This allows for faster decision-making, reduced latency, and improved efficiency in processing and analyzing data.

In theory, edge intelligence holds great promise for a wide range of applications, from autonomous vehicles to smart cities to industrial automation. However, in practice, implementing edge intelligence can be a complex and challenging process.

There are several key considerations to keep in mind when moving from theory to practice with edge intelligence. First and foremost, organizations must ensure that they have the right infrastructure in place to support edge computing. This may involve deploying edge servers, edge devices, and other hardware to enable real-time processing of data at the edge.

Additionally, organizations must also consider the software and algorithms needed to make sense of the data being generated at the edge. This may involve developing custom machine learning models or leveraging pre-trained models to analyze and interpret data in real-time.

Finally, organizations must also address the security and privacy implications of deploying edge intelligence. With data being processed and analyzed at the edge, there is a greater risk of data breaches and unauthorized access. Organizations must implement robust security measures to protect sensitive data and ensure compliance with regulations such as GDPR.

In conclusion, while edge intelligence holds great promise for revolutionizing the way we process and analyze data, moving from theory to practice requires careful planning and execution. By addressing key considerations such as infrastructure, software, and security, organizations can successfully implement edge intelligence and unlock the full potential of this transformative technology.
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