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LiDAR missed 30% of the canopy. Researchers now use computer vision to map individual trees at 1-meter resolution.

Teams manually monitored 395km of track. Now, AI predicts faults like wire sagging in real time, targeting 20% less downtime.

Simulations were stuck in 2D and took hours. Physics-informed AI now models 3D urban airflow in seconds.

Auditors spent 10 months reviewing boxes of invoices. AI now reconciles the data in hours, freeing staff to investigate anomalies.

Manual mapping took a year and cost millions. One scientist now completes the work in three days using local AI, saving €1.2M.

Crews chased breakdowns on 400km of track. Now, sensors predict failures, letting teams fix parts before service stops.

Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.

With data scattered across 4,200 sets, repairs were reactive. Now, models scan 1M daily events to predict potholes before emergencies.

Space static broke standard tools, requiring manual logs. Custom models now run a real-time check and make archives searchable.