Mentioned in 9 AI use cases across 1 industries
Think of DGS’s technology as an AI-driven traffic controller for mobile networks. It constantly watches how phones and devices are using 4G and 5G, then automatically adjusts the network so customers get faster, more reliable service with less wasted capacity.
Imagine your mobile network like a huge city of traffic lights. Today, most lights stay on even when no cars are passing. AI for greener 5G makes the ‘traffic lights’ of the network smart: they dim, sleep, or reroute traffic automatically so energy isn’t wasted when there’s little or no data traffic, while still keeping the roads (connections) flowing smoothly.
Think of the mobile network as a huge city full of roads (radio links) and traffic (data). AI in 5G/6G is like a smart traffic control system that constantly watches congestion, predicts where it will build up, and automatically opens new lanes, changes traffic lights, and reroutes cars so everything flows faster and more reliably without humans having to tweak every detail.
This is like a smart thermostat for a mobile network: when there’s no one in a room, it turns the lights and heating off automatically. Here, AI detects when parts of the cellular network aren’t carrying traffic and safely powers them down, then wakes them up when needed.
This is like giving the mobile network its own team of smart digital engineers who constantly watch how it’s performing, spot problems early, and automatically fix or optimize things before customers notice.
This is like putting a super-smart security guard on your telecom network and billing systems who watches every call, transaction, and account change in real time, spots patterns that look like fraud, and flags or blocks them before money is lost.
This is like having a smart early-warning system that spots which mobile or internet customers are about to leave and suggests the best way to keep them—before they call to cancel.
Think of a huge telecom network like a busy, complex city traffic system. Today, human engineers are the traffic cops, constantly tweaking lights and routes to keep everything moving. AI‑native autonomous network management is like upgrading to a smart city where sensors and AI automatically detect jams, reroute cars, repair issues, and optimize flows in real time, with humans supervising instead of micromanaging every intersection.
Imagine your telecom network as a huge, complex city with roads, traffic lights, and repair crews. AI here is like a smart traffic control center that watches everything in real time, predicts where traffic jams and accidents will happen, and automatically sends crews or reroutes cars before customers even notice a problem.