Simplify 5G Network Operations at Scale with Machine Intelligence

Introducing 5G-IQ Network Data Analytics Function (NWDAF)

Our AI/ML-driven Analytics Solutions

Guavus-IQ‘s portfolio provides a multi-perspective analytics experience for Communications Service Providers (CSPs), delivering highly correlated ‘outside-in/inside-out’ insights on customer experience (CX), service and network operations.

Success Stories

What we do

Drive more value from your data using AI and Advanced Analytics

Collect data at scale
Enrich & fuse in real time
Leverage AI based analytics
Initiate action & decisions

Collect data at scale

Enrich & fuse in real time

Leverage AI based analytics

Initiate action & decisions

Guavus at Scale

$500M saved

by our customers annually!

84% reduction

in mean-time-to-understand

real-time

response to complex queries

510 Billion

real-time records analyzed daily

Up to 90%

reduction in data stored

500 Million

devices monitored in real time

Latest News

Preventing Network Outages in a 5G World – by Guavus CTO Chris Neisinger published in 5GRadar

Making 5G Pay: Using Analytics to Build New Vertical Services and Revenue – published in FutureNet World

How Can Mobile Operators Build 5G Customer Loyalty? – published in Disruptive.Asia

How Machine Learning (ML) Can Prevent Network Outage in a 5G World – published on the Thales Website

Blog

Whither Zero-Touch 5G Networks? To Infinity and Beyond!

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.

5G, How Do I Manage Thee? Let Me Count the Use Cases

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.

How Do You Standardize 5G Network Automation?

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.