Better decisions with connected data

Here is how people in heavy asset industries thrive with AI and digital twins.

The correlation between effective decision-making and financial performance is undeniable. Pascal Bornet, a leading figure in Intelligent Automation, reveals an astonishing 95% link between the two. For companies in heavy asset industries, this statistic underscores a pivotal truth: smart decisions are a cornerstone of success.

Yet many organisations face a common hurdle: siloed information. Fragmented data stifles collaboration, leading to inefficiencies and missed opportunities. The solution lies in breaking down these barriers, fostering teamwork, and unlocking the full potential of data analytics.

Read more about how AI is helping heavy-asset industries make better decisions here

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AI’s Role in Decision-Making  

Artificial Intelligence (AI) and digital twin technology are revolutionising decision-making. By enabling real-time data visualisation and analysis, and helping organisations make swift, informed decisions while streamlining operations.

The result? Enhanced collaboration, scalability and efficiency.

But more importantly, AI is a force multiplier for human expertise, not a replacement. When integrated successfully into workflows and embraced culturally, AI empowers organisations to thrive.

An AI-embedded Digital Twin elevates decision quality by contextualising data and turning raw information into actionable insights. It ensures the right data reaches the right people at the right time, enabling seamless execution.

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Free up Valuable Time with AI

One of AI’s greatest advantages is its ability to handle standardised tasks, allowing human experts to focus on complex challenges.

According to Forrester’s "Digitalisation in Asset-Intensive Industries 2025," leaders adopting digital twins and industrial platforms report making better decisions (79%), achieving higher workforce efficiency (76%), and experiencing reduced downtime (71%).‍

 

Breaking Down Silos with Digital Twin Technology  

Deployed twins cut costs and improve operations, with 76% reporting lower IT spend and 69% reporting lower maintenance and operational costs, as well as reduced downtime (71%).

As the energy landscape continues to evolve, embracing AI and digital twin technology is no longer optional; it is essential for future-ready organisations.