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.

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

There’s a common pain point among communications service providers – how to integrate analytics into the network, currently the analytics are complex from the many non-standardized interfaces and inconsistent data collection techniques across network vendors. These concerns may finally be addressed by the network data analytics function (NWDAF).

With close to 10 million subscribers, the North American telecom giant has been using the Service-IQ analytics solution to get insights into their subscribers’ usage and behavior patterns.

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.

Social distancing and self-isolation mean that telecommunications have become an elevated essential service. How will communications service providers (CSPs) meet the challenge of their new critical role in our changed world?

If communications service providers (CSPs) are to consistently deliver world-class customer experiences across their diverse network service portfolios, their network operations centers (NOCs) must become far more customer-centric in nature.

Big Data Analytics, Machine Learning & AI are Critical for Service Providers to Master 5G Operational Complexity.

This article is an excerpt from the Tractica Research Report on Artificial Intelligence for Telecommunications Applications, published in 3Q 2019. This Tractica report details the major market drivers and barriers, technologies, key players, and forecasts related to eight telecom AI use cases.

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.

Most CSPs know they need to harness their valuable data, but struggle with how to do it. Putting AI and analytics tools to work alongside their deep-packet inspection (DPI) classification engines, providers can learn a lot more about their customers, then categorize them in understandable ways that allow the provider’s marketing department to approach them with targeted, personalized and meaningful service offers. Let’s examine a few ways CSPs can succeed.

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.

There is no shortage of valuable advice on how to embrace change and increase resiliency. The underlying assumption seems to be that people are afraid of change. This belief is expressed as a universal truth, just accepted on its face as fact. But are humans really afraid of change?