As industrial systems become more complex, simulation engineers are under increasing pressure to deliver faster, more informed design decisions. AI has the potential to help, but its adoption is often slowed by scattered and hard-to-use data. By turning simulation data into reliable, reusable assets, engineers can gradually take on the role of AI-builders, creating, training, and managing their own AI models. This makes AI an integrated part of simulation workflows, with engineers keeping full control over data, models, and decisions.
