Risk management is getting a reboot, with 65% of execs reporting they plan to up their spend on risk management technology, according to PwC. The mission: to better identify, understand, and manage organizational risks—turning data into insights that can strengthen resilience and ensure long-term growth. Case in point: Oil giant shell began using artificial intelligence and machine learning to increase supply chain visibility and get ahead of any potential risks. The potential payoff is an 80% drop in data-reporting errors compared to previous versions. Turning to automation can also help reduce cognitive biases that introduce risks—particularly at the planning stage. Of course, teams can’t simply hand off risk management to AI, but strategically tapping into technology can free up headspace for project professionals. Using tech to more accurately forecast risk means “more time to analyze the results to improve predictive success,” says Pamela Young, PMI-RMP, PMP, senior global custo...