Smart city digital twins to get a boost in a strategic alliance between infrastructure engineering software company Bentley Systems and Microsoft.
The two companies plan to collaborate to develop new smart city solutions through exploring opportunities for digital twins in urban planning and citizen engagement.
The alliance will combine Microsoft’s Azure IoT Digital Twins and Azure Maps with Bentley Systems’ iTwins platform to enable engineers annd other developers and planners to work within a comprehensive city-scale digital twin. These should enable improved collaboration and decision-making along with increased operational efficiency and reduced costs.
“We believe that infrastructure digital twins can empower engineers, constructors and owner-operators to design, build and operate infrastructure assets that are more cost effective, resilient and sustainable,” said Greg Bentley, CEO, Bentley Systems.
“With Azure as the foundation of our cloud services, our offerings are more broadly scaled and differentiated by the further integrations of Microsoft technologies. We are excited to extend our partnership to bring new digital twin advances to infrastructure engineering organisations and their constituents.”
Casey McGee, vice president Partner Development, US One Commercial Partner, Microsoft, adds: “Our expanded strategic alliance with Bentley Systems opens up new opportunities for innovation and will accelerate the benefits of digital twins for infrastructure engineering organisations and, more broadly, society at large.”
Bentley’s ProjectWise, in conjunction with Microsoft Azure and Microsoft Teams, has enabled users to work from home while collaborating virtually on projects anywhere in the world.
The companies will further combine their respective technologies for ProjectWise 365, an instant-on, 100% Azure cloud-based solution that increases the speed and quality of infrastructure design collaboration. The solution will be available through Microsoft’s commercial marketplace.
They also will leverage the technologies to enable users to rapidly store and process operational data.