The infrastructure sector is adopting AI with enthusiasm. A new whitepaper from Bentley Systems, Pinsent Masons, Turner & Townsend, and Mott MacDonald, The Impact of Artificial Intelligence on the Built Environment, surveyed the sector, and found the 48% of the infrastructure companies they spoke to were trialling AI, or had already implemented it. But only one fifth had a comprehensive AI policy, more than a third had no organisational policy, and 37% had only limited project controls, or none at all.

As part of Bentley Systems Year In Infrastructure series of events, Mark Coates hosted a panel discussion on the white paper. Bringing together key members of the infrastructure sector—engineers, contractors, and lawyers—the panel discussed how infrastructure businesses can implement a project management approach to AI implementation.

In this episode, Mark Coates joins us to offer a comprehensive look at AI adoption, examining not only the risks associated with it, such as ‘stealth adoption’ happening outside of organisational guardrails, but also the opportunities and strategies for successful integration. The panel discussion members bring their own perspectives, explaining how AI can be used successfully now, and the organisational, data management, and contractual steps needed to ensure its safe, ethical, and efficient use across complex supply chains.

Guests

Mark Coates, vice president of infrastructure policy alignment, Bentley Systems

Yeunjin (YJ) Kim, AI technical lead, group AI, Mott MacDonald

Anne-Marie Friel, partner, infrastructure, Pinsent Masons

Guy Beaumont, director, digital lead, Turner & Townsend

Resources

The Impact of Artificial Intelligence on the Built Environment,

Partner

Infrastructure is too big to fail, so you need AI you can trust. Bentley Systems is delivering infrastructure-ready AI across design, construction, and operations. As the partner of choice for engineering firms and owner-operators worldwide, Bentley’s software and digital twin solutions span engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle, unlocking the value of data to transform project delivery and asset performance.

The post #354 AI in Infrastructure: Adoption and Guardrails first appeared on Engineering Matters.