What's Happening?
Communications service providers (CSPs) are increasingly integrating artificial intelligence (AI) into their transport network operations, according to a recent survey by Omdia. The survey, conducted in collaboration with Ciena and Cisco, involved 80
qualified respondents and highlighted the growing role of AI in network automation. Over one-third of CSPs reported that AI is already a routine part of their operations and planning or will be within a year. The survey also identified network digital twins as a key enabler for both transport automation and AI, with network optimization and traffic engineering being the most suitable use cases for digital twins. CSPs expect AI to reduce human error and expedite troubleshooting, with operational expenditure savings also being a significant benefit.
Why It's Important?
The integration of AI into transport networks is significant as it promises to enhance operational efficiency and reduce costs for CSPs. By minimizing human error and speeding up troubleshooting, AI can lead to more reliable and efficient network operations. This is crucial for CSPs as they strive to meet increasing demand for high-quality network services. The use of network digital twins further supports this by allowing CSPs to validate AI recommendations before implementation, thereby mitigating risks. As AI becomes more embedded in network operations, it could lead to long-term cost savings and improved service delivery, benefiting both CSPs and their customers.
What's Next?
As CSPs continue to adopt AI, the focus will likely shift towards refining AI applications and expanding their use across more network operations. The development of network digital twins will play a crucial role in this process, providing a virtual environment to test and validate AI-driven decisions. CSPs may also explore additional use cases for AI and digital twins, potentially leading to further innovations in network management. Collaboration with technology partners like Ciena and Cisco will be essential in advancing these technologies and ensuring their successful integration into transport networks.
