Summary:
1. ISG’s research shows that overlay approaches are more popular than complete infrastructure overhauls for SD-WAN deployments, even among technologically advanced organizations.
2. Enterprises are favoring controlled, phased transitions due to operational complexity, legacy contracts, and compliance issues, rather than ‘rip-and-replace’ strategies.
3. While there is significant demand for AI capabilities in SD-WAN deployments, current AI solutions have limitations and human oversight is still crucial for effective implementation.
Article:
In the realm of SD-WAN deployments, a shift in approach is evident as overlay strategies gain traction over complete infrastructure overhauls, according to research conducted by ISG. Even digitally mature enterprises are opting for controlled, phased transitions instead of drastic changes. Pradeep, a key figure in the research, highlighted the operational complexities, embedded legacy contracts, and compliance challenges that are prompting organizations to proceed with caution in their SD-WAN deployments.
The hype surrounding new-age cloud native and zero trust solutions has led many to believe that a ‘rip-and-replace’ approach is the way to go. However, the reality is quite different, with concerns such as app migration, cloud complexity, and cybersecurity readiness taking precedence in discussions. Interestingly, smaller and more agile enterprises are more inclined towards complete replacements.
ISG’s research also sheds light on the increasing demand for artificial intelligence in SD-WAN deployments. While AI offers several benefits such as self-healing networks, zero-touch provisioning, traffic optimization, failover capabilities, and alert management, there are notable limitations to current AI capabilities. The promise of fully autonomous networks by vendors may not align with the practical applications of AI in SD-WAN deployments, emphasizing the need for human oversight to ensure effective implementation.
As enterprises navigate the complexities of SD-WAN deployments and AI integration, a balanced approach that combines technological advancements with human expertise is crucial for success. By understanding the limitations of current solutions and embracing a phased transition strategy, organizations can optimize their networks for efficiency and resilience in the digital landscape.
