Guavus Blog

High quality in mobile voice services is table stakes and MNOs must proactively and adequately equip themselves for the transition from 4G to 5G.

No matter how sophisticated smartphone devices get, they still need to initiate, connect and complete telephone calls flawlessly.

Actionable device intelligence is essential for MNOs to both understand subscriber behavior when connected to the network and to maximize the effectiveness of device promotion campaigns.

The operators of 5G networks will wield an unprecedented amount of power, which will have major implications for enterprise digital transformation initiatives.

A limited understanding of device intelligence is a handicap for executing on customer-centric business and operations strategies.

Zero-touch networks are the vision for 5G, but the adoption of standard enabling technologies will be key for mobile operators to realize the power of self-driving 5G networks.

While autonomous networks are the ultimate goal in 5G, until we get there, the intelligence generated by NWDAF is critical for human decision making in semi-automated network operations. Let’s take a look at the NWDAF use cases considered by the 3GPP.

A standard approach to 5G network automation will allow Mobile Network Operators (MNOs) to deploy multi-vendor networks with confidence, leveraging the unique capabilities of best-of-breed products.

Disaggregated cloud native 5G infrastructure will enable Mobile Network Operators (MNOs) to deploy best-of-breed products, but this requires an open NWDAF to ensure multi-vendor network automation.

While 5G networks are inherently complex and difficult to manage at scale, AI/ML will power 5G networks that are self-monitoring and self-driving, enabling zero-touch network automation.

For CSPs, understanding how their network is utilized by their subscribers and how the subscribers experience the network and services are the significant factors influencing their revenue and business value. Guavus, today announced Guavus-IQ, a comprehensive product portfolio that provides a multi-perspective analytics experience for CSPs.

As the COVID-19 pandemic spreads across the world, it’s clear that a new normal has emerged. We view this as an incredible opportunity for CSPs to begin catering to those who work from home. The “collaboration slice” is a service that could be offered by CSPs.

A recent survey by McKinsey & Company of 46 telco CTOs around the globe indicated that the second highest priority, after leadership in the local market, for the rollout of 5G is improved customer experience. This indicates that, within Communications Service Providers (CSPs), the teams responsible for long-term technology strategy are clearly focused on customer experience as a key differentiator.

5G promises both tremendous opportunity and challenges. Leveraging AI and analytics, CSPs can take the volume of data generated by the network and turn it into useful, consumable information that helps them grow their business and increase their top line.

Expect to see companies start monetizing big data as technologies emerge to 1) boost the productivity of data scientists, 2) automate a key aspect of machine learning, and 3) spur communications service providers (CSPs) to start riding the digital wave and exit the low-margin, pure-pipe business. These trends will make the job of turning data into more accurate decision-making and actionable business outcomes possible.

Through machine learning techniques CSPs are able to reduce alarm volume by more than 90%, while providing increased visibility into customer-impacting issues developing in their network.