AI-powered digital twin solutions for energy sector
Wipro partners with Kongsberg Digital to deliver AI-driven digital twins, enhancing efficiency, safety and real-time operations across energy and utility assets.
www.kongsbergdigital.com
Wipro and Kongsberg Digital launch a unified framework combining physics-based modeling and enterprise AI to optimize asset-heavy operations in the energy sector.
The strategic partnership integrates Wipro’s AI-powered Intelligence™ solutions with Kongsberg Digital’s Industrial Work Surface to provide real-time operational visibility. By converging engineering models with live data, the solution creates a comprehensive digital twin designed to enhance the reliability and safety of complex digital supply chain networks within the energy and utilities industries.
Technical Convergence of Physics and AI
The joint offering functions by synchronizing physics-based engineering models with real-time operational data and enterprise-grade AI. This architecture allows organizations to move beyond static data silos toward a dynamic automotive data ecosystem style of management for distributed energy assets.
The technical core of the integration includes:
- Wipro Industrial-AssetsAI: Advanced diagnostics for physical infrastructure health monitoring.
- Wipro UpstreamAI: Algorithmic optimization for exploration and production workflows.
- Kongsberg Industrial Work Surface: A centralized digital interface that aggregates multi-source data into a single operational view.
By combining simulation and automation within one integrated framework, the system reflects real-time conditions across power plants, electrical grids, and distributed assets, enabling predictive maintenance and scenario modeling.
Operational Resilience and Scalability
The partnership establishes a long-term roadmap to scale AI-powered digital twin capabilities across asset-intensive environments. The primary technical objective is to simplify the digital transformation process by providing a production-ready environment that can handle the high-velocity data streams typical of modern energy grids.
The deployment of these digital twins results in measurable benefits, including:
- Enhanced Operational Reliability: Reduction in unplanned downtime through real-time asset health simulations.
- Automated Decision Support: Integration of AI-driven insights directly into the engineering workflow.
- Sustainability Optimization: Precise monitoring of energy consumption and emissions across large-scale asset networks.
This collaborative framework addresses the industry-wide need for unified data environments, allowing energy providers to accelerate innovation while maintaining safety standards across complex, geographically distributed operations.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
www.kongsbergdigital.com
