What is Edge Computing?

Skill Level:

Edge Computing brings computing resources closer to the source of data generation, reducing latency and improving response times. By processing and analysing data locally on edge devices such as IoT Devices or Edge Servers, businesses can handle real-time applications and achieve faster data insights. Edge Computing is especially valuable for AI applications that require low-latency and efficient use of network bandwidth.

Other Definitions

Natural Language Generation is an AI technique that converts structured data into human-like text. NLG systems use Machine Learning algorithms to understand the data…
Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set…
Cloud computing provides on-demand access to shared computing resources, including storage, processing power, and software applications, over the internet. By leveraging cloud computing, businesses…
Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering…