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Artificial Intelligence for Networks?

Can artificial intelligence (AI) in networks take on specific tasks? Soon man will no longer be controlling the management of infrastructures in data centers alone. R&M Product Manager Reinhard Burkert takes a look at how AI and connectivity interact.

3 MIN READ

IT infrastructures reach a critical size

The latest forecasts confirm long-term dramatic growth in Internet data traffic. Soon there will be more than 28 billion IT devices networked with each other both in a wired and wireless form. They will all use innumerable digitalized systems and functions, the connection and monitoring of which should be fail-safe.

The data center market is getting ready for just that situation. The network infrastructures in computer rooms will be compacted even further. Thousands upon thousands of servers and hundreds of thousands or even millions of cables, glass fibers and connectors will have to be accommodated in a data center.

The result of such scenarios: The complexity and dynamism of IT infrastructures are reaching dimensions people can no longer manage without artificial help.

People need help

From R&M’s perspective, it is already clear that automated infrastructure management (AIM) is going to have to develop. Future evolution steps in AIM will also use AI to support people in continued control of the IT infrastructures.

AI will independently manage connectivity from the data center to the extremes of a smart city, economically efficiently and to suit requirements. It can predict certain things from findings gained in monitoring and machine learning.

For example, where and when cables are aging and failing or where there are overloads and what the causes are. AI is becoming a value creation factor in network operation.

The close connection

In addition, AI, just like cloud services, requires sufficiently dimensioned cabling that can be scaled, is latency-free and fail-safe. Otherwise, it will not be able to fulfill expectations. In other words, connectivity and AI are mutually dependent.

R&M has long years of experience in the development and production of AIM systems. Product Management pays great attention to technology and will implement corresponding functions, such as device positioning and optimization of cable runs, in the future.

Artificial IntelligenceAutomated Infrastructure ManagementHyperscale Data CenterInternet of Things

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