Resilient digital twins are essential in the age of enterprise AI and automation
By Kaushik Mitra, VP, Head of India GTM, Celonis India
For most of the past decade, the conversation around digital twins in enterprise technology circles revolved primarily around the physical world. This lineage is well established; organisations have long used virtual models to replicate machines, factory floors, and even aircraft components so that engineers could monitor, test, and improve performance in a simulated environment.
However, the conversation has shifted considerably, and this matters for every organisation that is serious about making AI do something more than fill slide decks with promise. The reason digital twins have become a central concern for enterprise technology leaders today is that AI, for all its capability, operates in a vacuum without grounding in how work actually happens. Large language models can write, reason, and summarise. Agentic systems can initiate workflows and coordinate actions. Yet none of that capability translates into operational value unless the...
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