A digital twin is only useful if it changes what someone does next. Telemetry alone is a firehose. A twin that mirrors assets, states, and relationships gives models a structured world to reason over, and gives operators a shared picture of reality.
The loop looks simple: sense → represent → predict → act → learn. In practice each arrow needs ownership. Who validates sensor health? Who owns the topology model? Who is allowed to act on a recommendation automatically versus with approval?
AI fits naturally on prediction and explanation: anomaly scores, remaining useful life estimates, and copilots that retrieve the right procedure for the asset in view. Keep actuation conservative until evals and ops trust are proven.
Our infrastructure engagements treat twins and AI as complementary layers, not a single buzzword. Start with the decision you need on Tuesday morning, then build just enough twin fidelity to support it.