The COVID-19 pandemic has highlighted the necessity of end-to-end automation of more complex business processes as enterprises seek to reduce dependency on human workforce. Artificial intelligence (AI) enables enhanced automation, quicker reaction to data sets, and a multitude of use cases in several consumer and corporate areas. When used well, AI and automation can not only drive the next wave of growth in the telecom industry but also set them apart, says GlobalData, a leading data and analytics company.
Malcolm Rogers, Senior Analyst at GlobalData, is set to participate the in-person FutureNet Asia event to be held on 18-19 October 2022 in Singapore. He will be moderating a fascinating panel discussion titled, “How to meet SLA and service quality requirements in a hyper connected world?,” to discuss about the topic of service-level agreement (SLA) and service quality requirements in a hyper connected world and the role of AI and automation and service assurance.
FutureNet Asia (which is both an in-person event at the Westin Singapore and available online) is expected to help tackle some of the biggest challenges facing operators today. This includes issues related to the increasing complexity of managing network elements across both traditional network domains and new cloud-based architectures that make use microservices and containers in telecoms infrastructure.
Rogers comments: “There is a growing need for more automation in operator networks in the 5G era. Complexity from new cloud native architectures will require a shift in how operators build, manage and run their networks and new AI-based technologies are at the fore front of orchestration and service assurance. This means observability at every layer, from service Assurance down to the network domains Is key to help maintain service levels.”
FutureNet Asia will see the participation from leading global network vendors, telecoms operators, industry analysts, as well as software specialists, including those focused on AI and automation. These participants will attempt to parse out the challenges and opportunities for the industry going forward.
Rogers concludes: “AI is not a magic bullet and every operator environment is different, meaning different approaches to training AI models will be needed. The rise of 5G is adding new challenges to network management, not only from the incorporation of new cloud-based architectures and use of edge compute, but also the rise of new business cases it is expected to support.”
