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 organizations 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
Artificial Intelligence (AI) and digital twin technology are revolutionizing decision-making. By enabling real-time data visualization and analysis and helping organizations make swift, informed decisions while streamlining operations.
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.
One of AI’s greatest advantages is its ability to handle standardised tasks, allowing human experts to focus on complex challenges. Consider these examples discussed at the Tomorrow Show:
Aker BP aspires to become the first truly data-driven oil and gas company. Through AI and machine learning, it aims to enhance decision quality. This commitment to data-driven decision-making positions Aker BP as a leader in the digital transformation of the energy sector, showcasing the potential for AI and digital twin technology to revolutionize industry practices.
By integrating data across various engineering applications using the OSDU standard for data sharing, they ensure that subsurface, drilling, and subsea teams have access to the same information.
Their adoption of digital twin technology allows engineers to visualize risks in real-time, optimize workflows and digitize critical decision-making processes across business units. The transformation has given Aker BP the possibility to build cross-domain workflows and automation that was previously not possible.
A US based oil and gas company leverages digital twin technology to bring its operations into the future. Advanced visualization of remote facilities enhances planning, accelerates decision-making, boosts operational efficiency, and reduces costs. At platforms, refineries and TCO operations the company estimates annual savings in the millions per facility.
Digital twins enable teams to troubleshoot remotely, prioritize work orders and maintain situational awareness. The technology has become a critical tool in reducing silos, enhancing collaboration, and driving continuous improvement.
The success of the company described, highlights the importance of user adoption. By ensuring that end users understand the technology’s value, digital twin technology has become an integral part of its continuous improvement and operational excellence strategy.
As the energy landscape continues to evolve, embracing AI and digital twin technology is no longer optional, but essential for future-ready organizations.
