Operational Analytics Just Got Smarter

Introducing Ops-IQ Service Experience Analytics

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

Analytics-Driven Automation Is Critical for MNOs to Master 5G Complexity at Scale – Published in FutureNet World

Guavus Shortlisted for the 2021 Computing’s AI & Machine Learning Awards – Outstanding Analytics Infrastructure Award

Guavus Wins the 2021 FutureNet World Award – Most Innovative Application of AI/IA (Intelligent Automation) to Enhance Customer Experience

Guavus is a Finalist for the 2021 FutureNet World Awards – Most Innovative Application of AI/IA for CX

Blog

5G Analytics Standards: Who Needs ‘Em?

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.

Will 5G Complexity Overwhelm MNOs?

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.

NWDAF: Automating the 5G Network with Machine Learning & Data Analytics

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).