According to the World Broadband Association, AI technology can significantly streamline the pre-deployment phases of broadband networks. It advocates for its use in network planning, which can lead to more effective infrastructure rollouts by ensuring deployment decisions are data-driven. Currently, telecoms utilize AI mostly for customer service and troubleshooting, but applying it earlier in the process could maximize return on investment. The report highlights AI's potential to analyze numerous factors, such as geography and existing customer data, to determine optimal deployment approaches.
"The pre-deployment phases in broadband are periods of decision-making and network planning before infrastructure is rolled out or upgraded. It's an ideal environment for AI to make an impact."
"An AI model can identify the most suitable areas for a new broadband deployment, when to upgrade from copper to fiber, and how to improve penetration in rural areas."
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