Industrial Digital Twins Strategy

Provide a practical framework for designing, deploying, and scaling digital twins powered by AI in a mid-sized organization. Include data governance, model management, interoperability with existing systems, ROI calculations, risk assessment, workforce implications, and ethical considerations. Compare scenarios where digital twins support product development, lifecycle optimization, and predictive maintenance. Conclude with a phased roadmap and governance structure.