Guavus Unfolds its New AI-based Analytics and Automation Products for CSPs
Guavus provides a single solution to address network and service operations, taking the cost and complexity out of big data analytics for operators.
FREMONT, CA: Guavus is a pioneer in AI-based analytics for communications service providers (CSPs) Today, and it announced the introduction of Guavus-IQ -- a comprehensive product portfolio that offers a unique multi-perspective analytics experience for CSPs.
Guavus-IQ provides highly instrumented analytics insights to CSPs on how each subscriber is experiencing their network and services and how their network impacts their subscribers. This single, real-time outside-in/inside-out perspective enables the operators to identify subscriber behavioral patterns and better understand their operational environments. This allows them to increase revenue opportunities through data monetization and improved customer experience (CX) and reduce costs through automated, closed-loop actions.
Besides, Guavus-IQ has been designed to be operator-friendly for CSPs -- it does not require the operator to be a data science specialist or an expert. It merges network and data science and leverages explainable AI to deliver easy-to-understand analytics insights to CSP users across the business at a significantly reduced cost.
The new Guavus-IQ products build on Guavus ten plus years of experience, providing innovative analytics solutions focused exclusively on CSPs' needs. The products are presently deployed in 8 of the top CSPs in Latin America, Europe, Asia-Pac, and North America.
Big Data Does not Need to Come at a Big Cost
Guavus-IQ comprises of two main product categories:
• Ops-IQ, for CSP Network Operations teams seeking to transform their operations with the advent of AI-assisted analysis, and
• Service-IQ for CSP Service Operations teams that are looking to grow revenue retain subscribers, and create new opportunities through refined customer experience.
Only because the data is big doesn't mean it can't be resource-efficient. The Guavus-IQ products leverage approximately 50 percent of the processing-related hardware required by traditional analytics solutions through their advanced big data collection capabilities and real-time, in-memory stream processing edge analytics. This results in a more robust data collection from over 200 sources at half the cost.
Ops-IQ provides additional operational efficiencies through anomaly detection, fault correlation, and root cause analysis, which lower OPEX and elevates CX. Ops-IQ fault analytics suppresses more than 99.5 percent of alarms not associated with network incidents and accurately predicts incident-causing alerts by 93.9 percent. This significantly enhances the Mean-Time-To-Response (MTTR) in a CSP Network Operations Center (NOC), saving more than $10 million a year in OPEX costs at present for a large service provider customer.
Service-IQ also plays a critical role in positively impacting CX and reducing costs. Service-IQ allows for flexible data reuse when it ingests new data; it ingests data once and then enables the reuse of that same data for additional use cases across Service-IQ and Ops-IQ. This new level of efficiency saves operators time with ingesting, a costly and complicated part of the analytics process.
Because the data pipeline of previously ingested data can be automatically re-instantiated for use within Service-IQ or Ops-IQ, CSPs don't need to become big data experts to leverage the power and value of the data they've collected. Instead, the Guavus-IQ products apply proven data science methods inside the integrated solutions to do the heavy lifting for the operator. This also allows analytics projects to be streamlined and shortened by more than 40-50 percent, as many organizations struggle not only with managing and deploying the infrastructure but also with gaining value in the early stage of analytics and AI experimentation.
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