Leading-Edge Data: The Network Superfuel for AIOps

When supporting a 5G standalone (SA) network, a service provider’s ability to harness real-time data is important in assuring cost-effective network evolution and profitability. Tasked with managing the subscribers’ experience through multiple generations of radio technology and access networks, service providers are finding that 5G SA services will demand more.

In the Light Reading webinar 5G Standalone Deployments: The Value of Observability and Real-time Data, Ruth Brown, principal analyst covering mobile networks and 5G at Heavy Reading, highlighted this fact with a look at some of the new services made possible with 5G SA technical advancements, including network slicing, edge services, reduced-capability Internet of Things (RedCap IoT), and ultra-low-latency applications.

In addition to these innovations, Brown highlighted advanced network APIs’ importance and growing popularity as a pathway for operators looking to automate the network and organizational processes.

Applying Superfuel to AI and API Initiatives

To address the 5G SA complexity challenges and pave the way for these new advanced services and free-flowing revenue streams with the utmost efficiency, operators need to transform themselves into data-driven companies.

By leveraging unified and accessible real-time and end-to-end data with advanced APIs, these operators can improve the granularity of monitoring and assurance tasks while supporting actionable data insights and new levels of automation in step with their artificial intelligence (AI) strategy.

Working with service providers on a variety of AI projects, NETSCOUT is well-versed in the many ways machine learning (ML) and AI techniques can be applied to address organizational needs. And, with the move toward AIOps tools, communications service providers (CSPs) are now looking to automate the ingestion of high data volumes, leverage ML for data analysis, and accelerate actions. They need a way to predict, alert, and be advised on issues at both scale and speed. For many, this means incorporating APIs into their workflows to handle the extensive analysis required for massive volumes and categories of data. With NETSCOUT’s AIOps solutions, end-to-end data can improve key processes, automate tasks, and accelerate decision-making.

Applying this leading-edge superfuel to AI and API initiatives, NETSCOUT works with operators in three main areas.

1. Subscriber experience: Automating the identification and management of unhappy end users
2. Network analytics: Supporting closed-loop analytics that bridge the gap and accelerate the transition to zero-touch network operations
3. Monetization and personalization: Maximizing the return on network-as-a-service (NaaS) models with tuned and highly personalized services and tariff structures

In alignment with the GSMA Open Gateway API product taxonomy, key functionality addressable with NETSCOUT’s end-to-end data includes network quality, optimization, mobile edge cloud (MEC), mobile and fixed connectivity, and network slicing, among others.

Differentiating with Real-Time Data

As CSPs continue the shift toward zero-touch autonomous networks and, more importantly, open the door to new revenue opportunities, access to continuous real-time data will remain a competitive differentiator.

Underscoring initial AIOps engagements, NETSCOUT has also made significant engineering investments in scalable API technology. As a result, the AIOps solution is ready and able to isolate “signal from noise” at the source across the core and radio access network (RAN). Offering near-real-time 24/7 data, NETSCOUT is committed to helping the industry move forward with a low-TCO observability platform and experience serving both the enterprise and service provider segments.

Learn more about 5G SA networks.

Learn more about NETSCOUT’s AIOps solution for service providers.