Signal A global OEM simulates over-the-air releases against a software twin before shipping them

Summary

NTT DATA's automotive use case describes a global carmaker, left unnamed, that uses a software twin to test updates before they reach vehicles. The twin combines software-defined vehicle architectures, field data, sensor logs, simulation outputs and safety cases. Before each over-the-air release, teams simulate performance, safety interactions, drift and the effect on customers. Trusted AI models, validated with lineage records, cybersecurity attestation and testing artifacts, keep the twin current as fleet data arrives. The models then recommend thresholds, localisation or changes to rollout plans. The report lists faster release cycles, fewer defects, lower recall risk, higher subscription uptake and greater regulatory confidence as expected results.