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Edge Computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, typically at the "edge" of the network (including devices such as sensors, smartphones, and other Internet of Things (IoT) devices). Edge Intelligence architecture is a design framework that performs intelligent processing of this data and is commonly used to enable real-time decision-making and reduce the need for centralized processing and storage. Processing data at the edge of the network, closer to where data is generated, has multiple benefits. For example, it reduces latency, improves performance, and enables more efficient use of network resources.

Google Analytics 4 (GA4) is the latest iteration of Google Analytics, offering new features and updates to help businesses gain insights into their website and obtain more accurate measurements. However, transitioning to GA4 can be challenging, particularly if you are accustomed to the older version of Google Analytics. In this article, we'll provide you with a 6-step checklist to make the transition to GA4 seamlessly.

As the world's most widely used search engine, Google is constantly updating its search algorithm. While these updates are necessary to improve the user experience, they can impact website ranking and the visibility of businesses online. 

Staying on top of Google's algorithm updates is daunting but essential to stay competitive. In this article, we will explore some of the most recent Google Algorithm updates and discuss their implications for businesses.