There has become a need for organisations to move towards a digital future for both internal staff and customers. The digital transformation will create a highly competitive environment that provides intelligent insights and collates information, using a mixture of cloud and artificial intelligence (AI).

Today's IT architectures are much larger and more complex than they were five or ten years ago, generating high management and maintenance costs. Gartner says is mostly funded through the capital budget. Today, 73 percent of all IT spend comes out of opex and will rise to 86 percent in 2018.

Traditional operations and maintenance (O&M) can no longer bear the increasing workload, and manpower can't be increased at the same rate as the network scale. This makes network O&M a problem that must be dealt with for enterprise development.

To overcome this issue, enterprises shift their attention to AI, using machine learning and algorithms -- sitting in the cloud -- to solve the problems encountered during digital transformation.


This has brought innovations like cloud systems to the top of the must-have list for businesses. Where they once looked at whether they should migrate from a data warehouse to cloud, the conversation has now become around to what type of cloud they should use.

According to Gartner, by 2020, a corporate "no cloud" policy will be as rare as a "no internet" policy is today. Additionally, by 2019, more than 30 percent of the 100 largest vendors will have shifted from investing primarily in cloud-first technology to cloud-only technology. Those companies stalling their move to the cloud will only create a gap that their cloud-ready competitors will be able to fill.

However, cloud computing comes with its own challenges. And for organisations to have a smooth transition they must understand that like any

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