edge intelligence
Edge intelligence refers to the capability to analyze data locally at the edge network, where the data is collected, rather than sending it to the cloud for analysis. It includes various aspects like intelligent offloading from terminals to edge servers, collaborating between edge servers, analyzing service behaviors locally at the edge.
Edge intelligence is also delivering machine learning at the network edge, where IoT (Internet of Things) devices and sensors operate. By integrating AI and machine learning models into the edge network, data from nearby devices can be processed and analyzed in real-time, locally. This enables quicker insights and actions, reduces the need to transmit large volumes of data to the cloud or a central location, and can enhance privacy and security by keeping sensitive data on-premises[1][3][4][5].
The benefits of edge intelligence include reduced latency, as the analysis is performed closer to where data is generated; decreased security risks, since data does not have to travel over the network; and potential cost savings, as it can reduce the need for data transmission and cloud storage[1][3]. Edge intelligence is particularly useful in scenarios where immediate action is required based on real-time data, such as in manufacturing, autonomous vehicles, and smart cities[4][7].
Edge intelligence encompasses various technologies, including operational technology edges, IoT edges, and information technology edges, with IoT edges being the most popular and widely implemented[1]. It also includes the deployment of specialized hardware and software, such as deep tensor processing units and techniques like federated learning, to efficiently run AI models at the network edge[5].
In summary, edge intelligence is the practice of performing data analysis and developing solutions at the site of data generation using AI and machine learning, which can lead to more efficient and secure business operations, as well as enable new applications that require immediate, local data processing[1][3][4][5].
Citations:
[1] https://www.hpe.com/us/en/what-is/intelligent-edge.html
[2] https://www.techopedia.com/definition/32559/intelligent-edge
[3] https://www.insight.com/en_US/content-and-resources/glossary/i/intelligent-edge.html
[4] https://viso.ai/edge-ai/edge-intelligence-deep-learning-with-edge-computing/
[5] https://dl.acm.org/doi/abs/10.1145/3486674
[6] https://www.windriver.com/solutions/learning/intelligent-edge
[8] https://www.bi-kring.nl/99-data-science-archief/1275-what-is-edge-intelligence-and-how-to-apply-it