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Predictive analytics tools help identify issues and alert crisis teams

Imagine spotting a crisis before it even happens. Artificial intelligence (AI) is helping businesses do just that. With AI-powered predictive analytics, you can scan data from past incidents to live sensor feeds or social media to catch “uh-oh” moments before they become disasters.

Though we all are still in a steep learning curve with AI tools and they are evolving quickly, there are numerous crisis response benefits when they are used responsibly. 

Here’s how it works: AI scans constantly for unusual patterns, whether it’s a sudden spike in online complaints, weird weather warnings, or supply chain hiccups. When something’s off, you get a heads-up—sometimes hours or days ahead of the curve. That means your team can jump into action, rally resources, and even keep things running smoothly instead of scrambling when it’s too late.​

There are several platforms, including SAS Vaya, SAP Analytics Cloud, ICB Watson, DataRobot, Google Vertex, Microsoft Azure and Tableau. (ICM does not endorse any of these products; names are shared for information only.)

AI isn’t just for tech wizards. You get dashboards with instant updates, easy-to-read forecasts, and simulations that help you prep for “what if” scenarios. The best part? These systems learn and improve over time, so your crisis response can get better. 

Picture of Deb Hileman, SCMP FCSCE CCMC

Deb Hileman, SCMP FCSCE CCMC

President and CEO, Institute for Crisis Management®