Service Providers

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.

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Guavus Live Ops

Guavus Proactive Ops

Network Planning & Operations

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.

Automatically set thousands of baselines to detect impactful anomalies in real-time using machine learning. Static key performance indicators (KPIs) are rendered obsolete.
Aggregate and contextualize hundreds of disparate sources of data to rapidly identify the true source of the problem. Dramatically reduce mean time to understand (MTTU) and mean time to repair (MTTR).
Gartner estimates that 85% of performance incidents can be traced to changes. Immediately visualize the effect of changes and maintenances made to the network to remedy them as soon as possible.
Correlate thousands of alarms using behavioral classification algorithms to identify the root issue of an incident, drastically reducing the time to understand and fix the problem.
Use telemetry and alarm data to learn from patterns of events in the past to predict and prevent future incidents. Use AI to understand patterns never seen before and predict their impact.
Auto-balance network traffic load based on performance algorithms to maintain service level agreement (SLA) and quality of experience (QoE). Understand traffic spikes, congestion and optimize accordingly through closed-loop actions.
You have a limited maintenance budget. Use AI to compare the benefits of alternate spending strategies and to select the best one.
Identify network traffic anomalies to prevent revenue leakage through tethering off of devices with unlimited data plans. Automatically enforce service level agreement compliance for IoT devices and use anomaly findings and reports to fine tune future SLA offerings.

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Guavus Smart Care

Customer Care

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.

Fast issue resolution combines data from multiple sources including websites visited, apps used, device type, and detailed network usage to immediately present the care agent with a holistic view of a customer's experience.
Preemptively suggest upgrades or repairs to equipment that is likely to fail and impact a large number of customers, based on network and device information.
Use device data to understand the customer issues and push messages to a self-help page on website, TV or text message, and present solutions for self-remediation and suggestions for new packages/plans that would better meet a subscriber's needs.

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Guavus Marketing Insight

Marketing

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.

Offer a personalized experience to your customers based on their interests and when they use your data services.
Create on-demand micro-segments of customers based on specific criteria desired (e.g. music streaming apps used in a geography during a chosen timeframe) and send notifications to subscribers once criteria is reached in order to improve conversion rates.
Offer advertising/media agencies, event sponsors or other businesses specific marketing insights about user segments that meet their desired criteria, combining standard demographics with behavioral details.
Retain customers and offer new services by understanding their preferences and interests and create product offerings accordingly. Consider behavior variables to improve churn reduction models.
Automatically detect the precise location of subscribers and correlate it with content interests. Offer tailored promotions and advertisements to subscribers based on geographical location, demographics and content preferences in real-time to increase conversion rates.

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Guavus Security Intelligence

Security

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.

Guavus combines and contextualizes incidents from multiple disparate sources for continuous detection. Using artificial intelligence (AI), Guavus develops a comprehensive security score leveraging behavioral modeling and stochastic anomaly detection. Kill chain incidents are prioritized based on potential impact, key users and critical assets.
Sophisticated threat hunting tools allow the SOC staff to validate and remediate the identified threats. Analysts are able to self-assemble new threat hunting workflows using building blocks modules for ingestion, enrichment and analytics on a security playbook interface. The propagation of threats across time and space is tracked through a relational-graph view of the network.
A security automation and orchestration framework ensures consistent and repeatable outcomes. Automate any ad hoc threat hunting or threat detection workflows. Auto-dismiss the vast majority of false positives, saving analysts’ valuable time and allowing them to focus on high-priority concerns.
Automate the incident triage process, with self-learning capabilities encompassing the ever-changing breadth and depth of malware, phishing, ransom ware, distributed denial of service (DDoS), and bring your own device (BYOD) risks. Aritificial intelligence enables the identification of never seen before threats, malware and infiltration techniques.

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Guavus Live Ops

Guavus Proactive Ops

Guavus Security Intelligence

Guavus Marketing Insight

Internet of Things

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.

Autonomously discover service anomalies across asset types correlated with connectivity measurements to rapidly attribute issues and prioritize incidents for better reliability.
Monitor device usage against agreed Service Level Agreement (SLA) while protecting network and enterprises from “at-risk” devices.
Enable fluidity in data distribution from asset/network to internal operations support systems (OSS), business support systems (BSS) and external enterprise applications.
Leverage Guavus Reflex platform and AI to help enterprises build new applications that maximize asset and connectivity value.