The PowerX enterprise platform uses data science and AI to automate improvements and processes at scale helping operational teams identify inefficiencies, prioritise responses and manage to resolution with detailed diagnostics and integrated workflows. The platform is hardware agnostic, quick and easy to deploy.
PowerX deploys tailored data models including site configuration changes to orchestrate power sources and optimise site performance – for example for site resilience, low energy costs, optimum battery charging.
PowerX automates early detection of assets deterioration or changes in operational status, prioritises tickets and actions and includes specific fault details to drive preventative maintenance and 1st time fix.
PowerX empowers NOC teams with automated issue tracking and management dashboards, site operations insights and site behaviour investigation tools to drive faster diagnosis and preventative maintenance.
PowerX provides operations and business management teams with insights and tools to inform decision making and improve operational efficiency, auditing optimisations and tracking results.
“PowerX was one of the winners of the IBM Watson challenge in 2018. The PowerX platform is unique in its application of Watson AI to the mobile cell tower market. It uses ground-breaking AI to optimize both capex and opex for mobile network operators and Tower Cos. For any Tower Co or Network team looking for the next generation tools to improve tower performance and resilience with a future proof solution built on advanced IBM technology then PowerX is the solution for you.”
“Not only did PowerX platform reduce negative environmental impacts, it also resulted in zero network downtime and continuously drives improvements across our infrastructure. We are very optimistic about these findings and the role AI stands to play at the heart of MTN’s infrastructure programme.”
“Managing and maintaining cell towers in Africa is a complex and unpredictable task. PowerX changes the game completely. It not only increases cost predictability for CFOs and reduces greenhouse gas outputs to help firms meet their environmental commitments, but the information it produces saves countless man hours and increases the length of life of expensive tower components.”
