Maximizing Business Efficiency With AI-Driven Digital Twins

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Shoeb Javed is chief product officer at iGrafx. Read Shoeb Javed's full executive profile here.

The adoption of digital twins of organizations , or virtual replicas of physical businesses, is a relatively new concept that has emerged in the past few years as digital technologies have become more and more integrated in business operations. With the help of AI and process intelligence, DTOs now make it possible for entire organizations to optimize operations.

Companies can conduct simulations or test changes to processes, systems and resources on the digital twin, to optimize for goals like cost, capacity or customer experiences, without having to spend lots of money implementing them and potentially finding out they don’t work. In the design phase, AI-powered predictive models can forecast future scenarios, enabling companies to anticipate challenges and make informed decisions. AI-driven simulations and natural language processing help DTOs evaluate strategies, analyze market trends and extract insights from unstructured data.

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