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Enterprise networks enter the dynamic era: adapt now or risk being left behind

Transform your enterprise network into an agile, intelligent and secure platform that supports your business’s future with iOCO’s expertise

Enterprise networks are evolving at an unprecedented speed. We saw a dramatic change in the move to cloud computing and software-defined networking. However, the pace of change has accelerated, and organisations must now prepare to move into the dynamic networking era, or risk being left behind.

This acceleration is driven by four converging trends: AI adoption, evolving cybersecurity threats, edge computing expansion, and metacloud environments. Each fundamentally impacts how networks must be designed and managed. To enable enterprises to become more agile and move faster, we see more distribution in terms of users, where data is housed, and where it is processed. Networking is core to enabling all of this.

However, this changing environment adds complexity to networking, puts human networking resources under pressure, and can have a significant impact on security. To adapt, organisations need new approaches to how they design, manage and secure networks.

Network AI: the double-edged disruptor

Arguably, the most significant disruptor in the world of networking is AI. Generative AI and Agentic AI add significant complexity to network infrastructure, demanding entirely new architectures with massive bandwidth and ultra-low latency requirements.

At the same time, AI offers us the ability to design, manage and operate networks faster and more effectively. It enables us to dynamically optimise networks, adapt autonomously to traffic patterns, seek out anomalies and troubleshoot them. Network engineers are now using AI chatbots to build configurations, troubleshoot, and analyse network configurations.

The case for dynamic networks 

Networks need to adapt very quickly now, particularly with widespread cloud adoption and edge computing. Data processing is moving closer to users and devices, creating distributed architectures that require seamless traffic management across multiple environments. An organisation can have a cloud-based service running within days, and the network must adapt within the same time frame.

Meanwhile, as cyberthreats become more sophisticated, networks must evolve from passive conduits to active security platforms. Modern networks require embedded security with AI-driven threat detection and Zero Trust networking continuously verifying every connection.

However, while infrastructures become more complex and agility is required, the necessary skills are in short supply.

The team at leading technology solutions provider iOCO expects autonomous AI to play an increasingly important role, and is  developing “virtual network employees” — AI systems that handle routine network operations, addressing the skills shortage while enabling more agile, dynamic and secure networks.

Implementing the dynamic enterprise network 

To achieve intelligent, dynamic networks, businesses need active engagement with service providers like iOCO to assess their networks’ readiness for edge computing, metacloud environments and AI adoption.

iOCO’s expert consultants develop customised roadmaps with guidance to help future-proof networks. This includes migrating from legacy MPLS to SD-WAN, embedding security components with AI-powered threat detection, and implementing Zero Trust architecture.

Fortunately, evolving the network need not be a rip-and-replace exercise: modernisation can happen incrementally. iOCO also offers AI-enabled networking as a service for enterprises preferring OpEx models.

The time to act is now 

The dynamic network era has arrived. Organisations that act now will gain a competitive advantage through more agile, secure, and cost-effective operations. The question isn’t whether to adapt — it’s how quickly you can transform your network to support your business’s future.

Written by: Wimpie Jansen van Rensburg, Business Executive: Core Network Solutions at iOCO Infrastructure Services

Originally featured here