NETWORKING

INTELLIGENT TECHNOLOGY

This is according to CASA Software, a leading SA digital transformation organisation that partners with global technology leaders, including Broadcom, to enable its customers to realise the value of AI-driven operations and streamlined observability.

Broadcom’ s 2026 State of Network Operations research reveals that while organisations are rapidly embracing cloud-first strategies and planning AI adoption at scale, most enterprise networks remain ill-equipped to deliver the visibility, performance and resilience required to support AI-driven operations.

According to the report 99 % of businesses have adopted cloud strategies with hybrid cloud emerging as the dominant deployment model. Despite this widespread digital transformation uptake, fewer than half believe their networks are fully prepared for AI. Network congestion, latency, limited visibility, security implementations such as zero trust networking and SD-WAN, increase complexity and continue to undermine performance. This creates significant risks for seeking to scale AI initiatives.

The research highlights a growing disconnect between AI ambition and network readiness. For example, 92 % of organisations are reported to be planning to deploy AI-enabled networking solutions, but only 23 % have implemented them with 70 % remaining in the early stages of network automation.

Tyron Silk, CASA Software Senior Solutions Architect

Tyron Silk, CASA Software Senior Solutions Architect, and a Broadcom Software Knight in this field, noted the race to adopt AI has shifted attention towards applications and data with many organisations overlooking the critical role the network plays in AI success.“ Without complete visibility across increasingly complex hybrid environments of both the managed and unmanaged networks, AI workloads can quickly be affected by latency, congestion and unpredictable performance.”

Visibility has emerged as one of the defining requirements for modern network operations. Nearly every enterprise surveyed in the report identified improved network observability as essential to supporting AI.“ The highest priorities include real-time flow monitoring, user experience, infrastructure monitoring and enhanced network security. Visibility into external environments such as internet service providers( ISPs) and public cloud platforms has also become equally important,” said Silk.

He highlighted that as businesses increasingly rely on cloud services, SaaS applications and distributed workforces, the network extends well beyond traditional data centres.“ However, this expanded ecosystem also introduces significant blind spots. The Broadcom report found that 87 % of companies experience limited visibility across internet and cloud environments, while 95 % lack adequate visibility into key network segments, particularly within public cloud infrastructure,” adds Silk.

He noted these blind spots have a direct business impact.“ Broadcom reveal that more than half of respondents cited visibility as essential for analysing network delivery issues. However, nearly half are reported to rely on it to predict capacity constraints, assess the impact of routing changes and monitor end-user experience. Improved visibility also enables faster root-cause analysis, proactive performance optimisation and reduced mean time to resolution( MTTR), allowing IT teams to resolve issues before they affect employees or customers,” he says.

According to Silk, despite these priorities, many network teams continue to face operational pressures that limit their ability to modernise.“ Security remains the leading challenge, followed closely by dependence on other IT teams, managing multiple ISPs, constrained budgets, skills shortages and inadequate networking tools. These challenges have contributed to growing reliance on third-party providers, with 76 % of organisations outsourcing elements of network operations.”

The Broadcom research suggests that AI itself may become part of the solution. • www. intelligentcio. com

INTELLIGENT CIO AFRICA

31