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April 2018, Vol. 9, No. 2

Big data network analytics: The next big thing

Networking managers are trying to keep track of an ever-increasing number of moving pieces. To do so, they are turning to a new class of big data network analytics that applies machine learning and artificial intelligence to help improve performance of growing networks.

While network professionals can look at various components of their networks and see what's happening on them now, the need to create more meaningful, actionable information is leading to increased demand for more sophisticated big data network analytics. As enterprises continue to use cloud services and advanced networking technologies like software-defined WAN, this need will only grow.

In this issue of Network Evolution, read insights from network professionals who are beginning to apply big data network analytics, machine learning and AI and what enterprises expect from these tools as the industry develops them.

Also in this issue, vendor consolidation in the last several years has wrought changes to what products and services are supported. Traditional networking vendors like Cisco and Juniper have jumped into the software-defined networking space through acquisitions, and several other vendors have merged to streamline products and diversify offerings. Read how the evolving vendor landscape is impacting the way enterprises interact with their suppliers.

In addition, as more workloads are placed in the cloud, enterprises have more options for deploying unified communications. Read best practices and considerations for on-premises or cloud UC or a mix of both to decide which deployment works best.

Finally, read about one organization's mission to improve healthcare through better wireless connectivity in this issue's Subnet.

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