Transforming Telecom Network Automation With AI Agents Artificial intelligence agents now autonomously manage the telecom industry's network operations, marking a fundamental shift from traditional automation that required humans to initiate tasks, monitor execution and evaluate results. The transformation addresses a critical industry challenge: balancing network performance with operational costs, said Mathew George, vice president of software and AI technology enablement at T-Mobile. One of the major cost drivers for the telecom industry is the power required to broadcast spectrum. In urban cores, network infrastructure and spectrum face heavy utilization during peak hours due to population density, but demand drops significantly when fewer people are present. "We have an opportunity to think about, do we need to be broadcasting all of that spectrum and all of that power at those times of the day? AI allows us to understand those patterns and make those predictive decisions on: Is this a great time to shut down a layer of spectrum or reduce the power levels of the frequency broadcast?" George said. This drives cost savings while keeping the customer experience intact. visit here: https://www.aitoday.io/transforming-telecom-network-automation-ai-agents-a-30136

References are by critbit, milicraft.psd and magik_jack_art on Instagram.

This got me excited to finish because I get so many ideas for my future dragon. Though I do really need to go back to the first 2 modules to practice more to get better.

Assignment

nice exercice again ;)

dargons! I'm also taking an animation class and did a little animation to practice both classes.