Guavus is driving operational efficiencies and enabling the monetization of data for service providers worldwide
In order to compete effectively in today’s digital world, service providers in all categories need to provide an excellent and personalized customer experience, rapidly adapt to change and run lean operations. Guavus is uniquely qualified to help service providers attain this balance and achieve profitable growth.
As the number of devices and the complexity of the network grows, so does the amount of alarms, alerts and changes Network Operations teams must manage each day with the same amount of staff. Guavus Reflex uses advanced algorithms and artificial intelligence (AI) to elevate service operations to a new level by automating key portions of the incident management process. Guavus identifies network issues in real-time before service impacts can affect customers, reduces alarm noise by up to 90%, and makes root issue analysis much more efficient, resulting in dramatically less time needed from incident detection to resolution with fewer resources involved.
Call center and digital care representatives lack important context to effectively engage and solve customer issues. This knowledge gap results in agents wasting valuable time to troubleshoot problems, translating into a negative customer experience and low Network Performance Score (NPS). The Guavus customer care solution provides customer care agents with unprecedented, granular real-time insights to determine precisely which events are impactful and affecting the quality of experience of individual subscribers. Using these insights, Guavus gives the agents comprehensive instructions for remediation as text or via the web using digital media.
Personalized interactions and tailored content offerings are mandatory in the eyes of today’s customers, but cannot be offered without first understanding customer interests and preferences. Guavus Marketing Insight makes it possible to connect with the right audience by classifying, categorizing and understanding key interests as well as the use of specific apps, devices and networks. Using advanced machine learning, our content categorization algorithms provide out-of-the-box information about subscriber content usage well beyond standard Interactive Advertising Bureau (IAB) categorizations, allowing you to go to market faster. By applying advanced analytics to this information, insights can be gleaned and monetized. Customers can be grouped into segments based on interest, demographics, usage and behaviors so you can market appropriate offers and content.
Advanced and persistent cybersecurity threats are constantly morphing and evolving, making it impossible to keep pace using traditional tools that lack unified frameworks and advanced machine learning techniques. Guavus enhances the security tools you already have in place to identify advanced threats by correlating identity analytics with peer group and user or entity behavioral analytics, detecting and validating network and resource threats without human intervention. Threats are contextualized, classified and then prioritized by a custom scoring engine to determine their severity and level of risk. Security Operations Centers (SOC) analysts can now focus their threat hunting efforts on true areas of concern and put repeatable procedures in place to eliminate the threats.
Gartner forecasts that 20 billion connected things will be in use worldwide by 2020. Each of these devices will need management, control, connectivity and security. Doing this all in a cost-effective manner requires a new breed of service operations that transcends the traditional infrastructure, application and network layers to operate effectively and provide the right information, at the right time. At Guavus, we apply AI to give your operations team the tools they need to make effective decisions, optimize network resources, reduce costs and speed up the deployment of new services.