As electricity networks become more complex, grid operators face growing pressure to manage more assets, integrate more renewable generation and respond to changing patterns of electricity demand. Digitalisation is often presented as the answer, with artificial intelligence, digital twins and advanced analytics promising a new era of smarter asset management. 

Yet technology alone will not modernise the grid. 

For transmission system operators (TSOs) and distribution system operators (DSOs), the real challenge lies in building the digital foundations that allow these technologies to deliver meaningful results. From structured data and common standards to interoperable systems, the future of smart grids depends as much on information management as it does on artificial intelligence.  

Digital twins are becoming operational tools 

Digital twins have moved well beyond simple visual models. Increasingly, they are becoming dynamic digital representations that support the entire lifecycle of grid assets, from planning and engineering through to operation and maintenance. 

When combined with technologies such as Building Information Modelling (BIM), Geographic Information Systems (GIS) and structured engineering standards, digital twins allow operators to simulate network performance, improve asset visibility and support more informed decision making. 

Artificial intelligence adds another layer of capability. By analysing operational data from digital twins, AI can identify emerging faults, optimise maintenance schedules and improve the performance of substations, transmission lines and renewable energy assets. Some implementations have demonstrated significant reductions in unplanned outages through predictive maintenance.  

Better data creates better decisions 

The effectiveness of AI depends entirely on the quality of the information it receives. 

Many utilities continue to manage legacy infrastructure built long before today's digital technologies existed. Older assets often contain incomplete records, inconsistent naming conventions or fragmented datasets that make it difficult to build reliable digital models. 

This is driving greater focus on structured data standards and digital product information throughout the asset lifecycle. Consistent data models not only improve maintenance planning but also make it easier for manufacturers, utilities and engineering teams to collaborate using the same information. 

As more organisations develop digital representations of their products and assets, data is becoming as valuable as the physical equipment itself.  

Interoperability remains the missing piece 

Modern electricity systems do not operate in isolation. 

TSOs, DSOs, manufacturers and technology providers all rely on the ability to exchange information quickly and accurately. However, inconsistent communication protocols and varying regional standards continue to limit interoperability across many electricity networks. 

This is particularly challenging as distributed energy resources, battery storage and power electronics introduce new operating conditions that demand faster, more coordinated responses. 

Without common frameworks for data exchange, even highly digitalised organisations can struggle to achieve system wide visibility or coordinate effectively during network events. Strengthening interoperability will be essential if digitalisation is to improve resilience at scale.  

Modernising the grid requires collaboration 

Artificial intelligence will undoubtedly become an increasingly important tool for asset management, but it should be viewed as part of a much broader transformation. 

Investment in digital infrastructure, common standards and lifecycle data management will be just as important as advances in machine learning. Equally, utilities, manufacturers and technology providers must work together to ensure digital systems can operate across organisational and national boundaries. 

As electricity networks continue to evolve, organisations that combine strong engineering expertise with robust digital foundations will be best positioned to improve reliability, optimise investment and respond to future demand.  

These are the conversations shaping the future of transmission and distribution. At CWIEME Berlin, grid operators, manufacturers and digital technology specialists come together to explore how data, automation and intelligent asset management are strengthening power networks. As smart grid technologies continue to mature, collaboration across the value chain will be essential to turning digital potential into operational performance.