![]() Making Intelligent Automation a Reality with Advanced Analytics ![]() At Ciena, we call this the Adaptive Network. But now, vendors are augmenting traditional analytics with automation and artificial intelligence technologies to enable the next generation of highly intelligent networks-a network capable of dynamically self-configuring or self-optimizing based on changing network conditions. Typically, this type of operation has been a manual process. For example, if a network operator finds that there may be a congestion problem in a certain area of the of the network, traffic can be routed through a different part of the network to meet service performance objectives. Once identified, operators take the next step of ‘acting’ on this data-which typically involves a network operation or a set of operations. Network analytics, in its simplest definition, involves the analysis of network data and statistics to identify trends and patterns. ![]() As a result, they are able to make smarter, data-driven decisions about their operations that help them achieve their desired business outcomes. ![]() Now, in pursuit of serving customers more effectively and looking for every possible competitive edge, network operators are utilizing analytics to gain a deeper understanding of the network. Networks are at the center of today’s world, so understanding how the network is performing is critical-not just for technical peace of mind, but for the operation of the business itself. ![]()
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