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Cable TV Provider Implements OpenVault Performance Management Network

AI and machine learning accelerate the process of identifying and resolving network problems

Cable TV Provider Deploys OpenVault Performance Management Network
Cable TV Provider Deploys OpenVault Performance Management Network

Cable TV Provider Implements OpenVault Performance Management Network

In a strategic move to maintain customer satisfaction and financial success in a highly competitive broadband market, Service Electric Cable TV (SECTV) has announced the deployment of OpenVault's Proactive Network Management (OV PNM). This AI- and machine learning-powered technology is designed to expedite the identification and resolution of network issues, thereby enhancing network reliability and improving the user experience for subscribers.

The deployment of OV PNM prioritizes the fastest possible detection and repair of network impairments, as stated by Josh Barstow, chief commercial officer of OpenVault. This proactive approach is intended to boost field support and customer service efficiency, reducing downtime and outages for SECTV customers in northern and eastern Pennsylvania and in western New Jersey.

With OV PNM, SECTV can now automatically identify network issues that may impact performance for customers. This technology offers unparalleled visibility into broadband infrastructure, enabling the company to intelligently diagnose and resolve the root causes of hybrid fiber coaxial (HFC) network problems.

The benefits of OV PNM extend beyond network improvements. By using data-driven prioritization, SECTV can focus resources on the most impactful issues quickly, enhancing broadband consumption insights, and contributing to smarter network management decisions.

John Walson, president of Service Electric Cable TV, expressed his confidence in the deployment, stating that it will give their teams the information they need to more quickly resolve service issues, driving greater customer satisfaction. OV PNM also allows providers to detect plant faults before customer calls, reducing truck rolls and maximizing customer uptime.

SECTV's history includes engineering innovations and being the first to availability of HBO. The deployment of OV PNM is a strategic response to the need for faster detection and repair of network impairments in a competitive broadband market. It is aimed at assuring delivery of service quality that creates happier, loyal subscribers and drives financial success, making it a strategic move to enhance service quality and drive customer loyalty.

[1] Service Electric Cable TV Press Release, "Service Electric Cable TV Deploys OpenVault's Proactive Network Management (OV PNM) for Enhanced Service Quality and Customer Satisfaction," [Date], [URL] [4] OpenVault Press Release, "OpenVault's Proactive Network Management (OV PNM) Helps Service Electric Cable TV Increase Efficiency and Customer Satisfaction," [Date], [URL]

  1. The OpenVault's Proactive Network Management (OV PNM) technology, a combination of artificial intelligence and machine learning, is designed to improve the user experience for SECTV subscribers by expediting the identification and resolution of network issues.
  2. OV PNM offers unparalleled visibility into broadband infrastructure, enabling SECTV to intelligently diagnose and resolve the root causes of hybrid fiber coaxial (HFC) network problems.
  3. With OV PNM, SECTV can automatically identify network issues that may impact performance for customers, thus contributing to smarter network management decisions and enhanced broadband consumption insights.
  4. By using data-driven prioritization, SECTV can focus resources on the most impactful issues quickly, reducing downtime and outages for subscribers in northern and eastern Pennsylvania and in western New Jersey.
  5. The deployment of OV PNM allows SECTV providers to detect plant faults before customer calls, reducing truck rolls and maximizing customer uptime, thereby driving customer satisfaction and financial success in a highly competitive broadband market.

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