Maximising business potential: Unleashing the power of Digital Twin technology

By John Hill, CEO and Founder, Silico.

The demand for Digital Twins is accelerating at an incredible rate. By 2030, analysts believe the market for Digital Twin technology will be worth over $136 billion.

Simulating and replicating business processes has evolved into a core objective for business leaders, driven by their ambitions to mitigate risks, enhance performance, and attain optimal business outcomes. Embracing Digital Twin technology has become indispensable, revolutionising how enterprises strategise process transformations and oversee their operations with unwavering confidence.

For those yet to encounter the technology, a Digital Twin is a virtual counterpart of a physical object or process. Digital Twins facilitate the development of dependable simulations, empowering organisations to explore diverse scenarios and anticipate potential results. Operating in real-time, the technology offers priceless insights into performance, efficiency, and forthcoming challenges. This equips businesses with the knowledge needed to make well-informed decisions and chart the most favourable course toward success.

Digital Twins: The foundation of the enterprise

Enterprises are now embracing Digital Twin technology, extending beyond the realm of physical systems. By employing process simulation, organisations can create Digital Twins of their processes, scaling up to encompass their entire structure.

Using real-time data, businesses tap into forward-looking analytics through 'what if' scenario planning, granting them the power to monitor processes, anticipate future challenges, and make strategic decisions. For example, process simulation assumes a pivotal role in testing and enhancing peak and low-volume capacity, guaranteeing elevated customer satisfaction while streamlining handling times.

In uncertain economic landscapes, it’s important to deploy sophisticated simulation models that yield invaluable insights. This includes understanding how fluctuations in variables such as capacity and demand influence future business outcomes. Through a comprehensive analysis of this data and its integration with a Digital Twin, organisations forge a direct connection between current process changes and their influence on crucial commercial performance indicators, ultimately leading to definitive decisions in pursuit of desired outcomes.

Moreover, process simulation takes centre stage in optimising the delivery process. By creating a Digital Twin of a process, enterprises can simulate the repercussions of pivotal decisions, such as headcount reduction. Through these simulations, enterprises evaluate changes proposed by process mining, assess their future ramifications, and gauge their influence on essential commercial KPIs. The significance of process simulation lies in its unmatched ability to gauge the effects of process modifications on pivotal commercial outcomes.

The evolving landscape of Digital Twin technology

Looking to the future, Digital Twin technology will transform the planning and management of intricate organisations. Decision-makers will increasingly diminish their reliance on traditional "gut instincts" and "human intuition" within boardrooms, instead embracing forward-looking simulations and scenario analytics to optimise business outcomes.

Harnessing Digital Twin technology for business-crucial decisions confers a significant competitive advantage. The valuable insights gained through simulations can seamlessly translate into real-world applications, empowering enterprises to modify and react quickly to changing market conditions

By David de Santiago, Group AI & Digital Services Director at OCS.
By Krishna Sai, Senior VP of Technology and Engineering.
By Danny Lopez, CEO of Glasswall.
By Oz Olivo, VP, Product Management at Inrupt.
By Jason Beckett, Head of Technical Sales, Hitachi Vantara.
By Thomas Kiessling, CTO Siemens Smart Infrastructure & Gerhard Kress, SVP Xcelerator Portfolio...
By Dael Williamson, Chief Technology Officer EMEA at Databricks.