Preventing Network Maintenance Collisions: Using Artificial Intelligence Models for Predicting Collisions in Planned Maintenance Activities (2024)
By Jordan Kupersmith, Cox Communications; Nate Bila, Cox Communications; Cherie Peirce, Cox Communications; Chase Durham, Cox Communications; Rob Arnold, Cox Communications
In the digital age, a flawless network isn't about uptime; it's about unforgettable moments—a crystal-clear "I do" in a video wedding, a reassuring voice in a crisis call, or a lightning-fast trade that secures a child's college fund. Yet, as networks converge voice, video, and data services, the manual processes we cling to become silent assassins of these experiences. This paper exposes how current manual approaches to impact analysis and collision detection, when faced with the kaleidoscopic complexity of modern networks, aren't just costly and inefficient—they are actively sabotaging the moments that define customer relationships and brand loyalty.
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