Guavus Blog

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?

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.

IoT and 5G promise to revamp the mobile networking landscape but also present service providers with operational challenges driven by sheer scale. With the race to 5G well underway, it is imperative that service providers ramp up fast on machine learning and AI to establish partnerships with the leading vendors and integrators who have proven expertise in applying these new technologies in large-scale operational environments.

WiFi is the new battleground. Insatiable demands for bandwidth, new streaming games & apps and the need for everything NOW, makes providing networks for the modern day home a nightmare. See how AI-based analytics can make your Customer Experience smoother.

Service providers are in the middle of the greatest transformation of our time: mergers, increased OTT competition, insatiable bandwidth demands, and subscriber growth stalling. Knowing precisely where and when to spend money is more critical than ever.

With ever increasing deployments of SDN and NFV, service providers will find analytics even more critical to operating their businesses efficiently and effectively. Here’s how cable operators can apply AI to virtualized networks.