Companies involved in the development of infrastructure projects are increasingly turning to artificial intelligence (AI) models for productivity gains, benefiting from improvements in project design, schedule optimization, cost controls, site inspection, safety, compliance, and quality assurance.
While these uses are gaining momentum and popularity, a less well-known but increasingly relevant application is how AI can help manage key supply chain risks, including structural, political, environmental, and credit risks.
Here, we show how stakeholders involved in the infrastructure development - from project owners to energy operators and private investors - can use AI tools to uncover, manage, report, and transfer risks.
