/dq/media/post_banners/wp-content/uploads/2023/10/20231028-151828.jpg)
Network automation has increased dramatically with the introduction of 5G and the growing focus on the enterprise. The domain of network automation has experienced a substantial revolution due to organizations' demands for increased agility in changes, higher service availability, and lower operational costs.
The combination of machine learning (ML) and artificial intelligence (AI) is a major step in this trajectory since it is driving a paradigm shift in network automation. An era of increased intelligence, flexibility, and proactive network operations is being led by this synergy. This combination plays a critical role in coordinating the smooth administration of end-to-end service delivery and operations, complete with insightful knowledge of network performance. Moreover, it plays a crucial role in reducing the likelihood of human error while automating complex tasks.
The panel discussion held at India Mobile Congress (IMC) 2023 titled "Harnessing Automation and AI: Empowering the Networks for Tomorrow" was focused on the exploration of new developments in automated networks. The aim was to evaluate the current network maturity level and discuss the issues that need to be addressed with coordinated efforts. The ultimate goal of the discourse was to realize the aspirational vision of achieving autonomous, cognitive, and interbased networks that represent cutting-edge efficiency and lower operating costs.
The overall discussion highlighted both the potential of 5G technology and the challenges posed particularly in terms of acquiring the necessary skills and expertise to fully realize the benefits of these advancements.
The conversation touched upon the benefits of implementing Artificial Intelligence (AI) and Machine Learning (ML) in network management. These technologies are seen as crucial for the transition from traditional, script-based network management to more agile and predictive systems. It also emphasized that the return on investment (ROI) from the implementation of AI, ML, and 5G technology lies in the increased agility and the diversification of solutions and services offered through networks.
They made a distinction between open source and proprietary technology and noted that open source solutions gather more interest from those who are interested in the field of technology than proprietary technologies as they may pose more challenges.
Furthermore, they also addressed the skills set issue as they recognized that there may be a shortage of skilled professionals to operate, maintain, enhance, and deploy the 5G technology. It further suggested that reskilling of existing teams is necessary by providing training and education to current employees to bring them up on the new technology.
As the discussion moved forward the panel also appreciated India's efforts in the development of 5G technologies, its innovative approach, and achievements made throughout the years.
“You are the reference. Everybody is looking to you for what we can achieve when it comes to 5G stand-alone. So this is the power of India and how the country is growing in terms of global innovations and how it's developing," said Ari Gentis, Head of Service Line Optimize, Ericsson while emphasizing India's development in terms of technology and innovation.
In conclusion, the rapid development of 5G technology in India is a testament to the nation's growing distinction on the global innovation stage. However, the journey towards achieving the full potential of this technology will not come without challenges. The scarcity of skilled professionals capable of operating and maintaining 5G networks is still present as a barrier.