Key Takeaways:
– 5G Standalone (5G SA) underpins many flagship applications and services due to its open APIs and unique connectivity.
– Assurance forms a vital role in AIOps service orchestration, providing an end-to-end view of service fulfillment.
– Service assurance developments are triggering new income strategies for services requiring guaranteed performance levels.
– Generative AI is positively impacting IT operations, especially in customer experience and network operations.
Generative AI, or GenAI, is staking its pioneering place in the evolution of 5G Standalone (SA) network operations and service assurance. It’s playing a vital role in accelerating complexion and offering customers innovative applications, services, and solutions. Models forecast that this progressive technology in the IT sphere will uphold its advancement due to emergent business needs and expectations.
Significance of Assurance in AIOps Service Orchestration
Assurance, an integral part of AIOps service orchestration, emphasizes offering end-to-end service orchestration processes complying with customer requirements. It encompasses a spectrum of aspects from order handling to service design and service and resource provisioning. As such, the interaction between service orchestration and the assurance system is vital.
Leading vendors are exhibiting AIOps assurance models, capable of predicting performance against key quality indicators (KQIs) and reflecting projected future confidence bands on metrics such as device-level and end-to-end downlink throughput.
Broadening the Horizons of Observability
In the fast-paced technological world, observability within domains, across domains, and vertical stacks hold a significant position. A 2024 Market Drivers survey spearheaded by Spirent reflects the developments fueling new revenue strategies. These are particularly relevant for 5G mobile cores as they take root in 5G SA deployments.
Observability stretches across customers, moving towards service assurance and customer experience. AI and machine learning (ML) models are coming to the fore to handle the influx of data and implement sophisticated capabilities such as anomaly detection and automated root cause analysis.
Initial Influences of Generative AI
Generative AI is making strides in improving several facets of IT operations. A whopping 87% of respondents in a TM Forum survey reported positive impacts on customer experience due to GenAI. Furthermore, 85% of survey respondents see potential in GenAI to influence network operations, especially since it’s merging with digital assistant capabilities, serving as an essential interface for service assurance solutions.
Outlook for GenAI Beyond 2024
As we advance beyond 2024, GenAI’s potential contributions to the network, based on service assurance data, are presently a topic of deliberation. In the coming years, it’s anticipated that GenAI will offer simplified code and script generation abilities, enabling real-time network modifications. The capacity to generate text might allow it to manage and update documentation relating to assurance deployed in the network and even auto-generate help files for an enterprise.
Key Developments to Monitor
In 2025, expect a keen focus on GenAI’s impact on service assurance in demonstrations of intricate self-healing capabilities. The surge of 5G SA and its related innovative applications is resulting in increasing challenges to support these dynamic networks. The aim is for the creation of multiple nested closed loops to either resolve issues swiftly or request orchestrators to deploy the next best configuration. Achieving this requires active assurance using AIOps models, time-series databases, and distributed architecture to manage data from numerous domains.
For now, meeting corporate customer requirements for new services will necessitate telcos to integrate their data and processes across complex ecosystems. Right data to the right destination, along with assurance, inventory, and third-party data, will grant new visibility and automation to support these services.
