Keep raw data processing only in edge locations. Edge analytics should not only provide analytics for the edge site, but they should also have the ability to send the output of the analytics through the network to other sites.
An interconnected analytics solution should cambodia whatsapp number data have the ability to send and receive the output of analytics to or from another analytics solution through the network. in the network are expected to be in the same format or in a format that does not require additional transformation, data integration and transformation shall be straightforward.
With the help of appropriate AI algorithms, cloud analytics solutions should be able to request processed data from edge locations. Likewise, edge locations also should be able to leverage AI algorithms to exchange performance metrics and other key indicators with other edge locations and the cloud.
Edge and cloud analytics solutions should use AI to learn from other deployments within the network and provide better insights.
Using AI effectively in edge deployments and analytics can effectively reduce the turnaround time and provide comprehensive analytics to the stakeholders.
The Need for a Comprehensive Data Strategy in a Multi-Deployment Model
Organizations are constantly looking for ways to provide a more seamless, localized, and quicker experience for customers.