What's Happening?
Energy and infrastructure companies are significantly increasing their investment in digital twins and artificial intelligence (AI) to enhance predictive maintenance, operational visibility, and infrastructure resilience. According to a study commissioned
by Bentley Systems and conducted by Verdantix, over 70% of organizations plan to boost spending on digital twins in the next two years. The study highlights that AI is being increasingly used for asset inspections and failure prediction. However, the research also identifies that disconnected data systems are a major barrier to improving operational performance, with more than two-thirds of respondents citing fragmented data as a primary challenge. Despite having resilience strategies, many organizations struggle with implementation due to disconnected operational and engineering data.
Why It's Important?
The increased investment in digital twins and AI represents a significant shift in the energy sector towards more data-driven and predictive operational strategies. This move is crucial for improving asset reliability, reducing downtime, and enhancing overall operational efficiency. By integrating disparate data sources, companies can transition from reactive to predictive maintenance, leading to more informed decision-making and long-term planning. This technological advancement is expected to provide a competitive edge to companies that can effectively implement these systems, potentially leading to cost savings and improved service delivery.
What's Next?
As organizations continue to invest in digital twins and AI, the focus will likely shift towards overcoming the challenges of data integration and system interoperability. Companies may need to invest in new technologies or partnerships to bridge the gap between existing systems and new digital platforms. Additionally, there may be an increased demand for skilled professionals who can manage and interpret complex data systems. The success of these initiatives will depend on the ability of organizations to effectively integrate and utilize these technologies to achieve their operational goals.
