Guavus to Bring Telecom Operators New Cloud-based Analytics on their Subscribers and Network Operations with AWS
Guavus-IQ analytics on AWS are designed to allow telecom operators to improve customer experience, cut costs, and grow revenue through the use of explainable AI (XAI) and advanced cloud-enabled analytics on subscribers and network operations
With the gravity of customer data shifting rapidly to the cloud, telecom operators are increasing adopting cloud Platform-as-a-service (PaaS) to virtualize their networks and deliver an improved customer experience and new services. The agility and scale of PaaS enables operators to start small and grow as their needs change and helps lower their upfront CAPEX compared to on-premises equipment deployment.
Addressing this transformation, Guavus announced the launch of Guavus-IQ on Amazon Web Services (AWS), providing mobile network operators (MNOs) new cloud-enabled analytics insights on their subscribers’ interests and behavior as well as on their own network operations.
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Guavus-IQ provides operators highly correlated analytics insights on how each subscriber is experiencing their services and network and how their network is impacting their subscribers. This single, real-time perspective helps operators identify network behavioral patterns and better address demands across their operational domains — subscriber, edge, service and core. These analytics insights can allow operators to increase revenue opportunities through data monetization and improved customer experience, as well as reduce costs through automated, closed-loop actions.
Guavus’ relationship with AWS builds on the companies’ earlier work together on streaming edge analytics. AWS currently licenses Guavus’ SQLstream for streaming edge analytics technology for use in its Amazon Kinesis Data Analytics, which powers the applications of thousands of AWS customers. The SQLstream technology plays a key role in Guavus-IQ as well, providing real-time, cloud-enabled streaming analytics from network edge to core for 4G and 5G networks, giving operators a hyper-distributed and massively scalable architecture with better price/performance and total cost of ownership.