Severe weather forecasts tell you what’s coming.
They don’t tell you what it will cost you.
When storms hit, the difference between disruption and resilience isn’t access to data — it’s knowing exactly how that data translates into operational impact.
The most prepared organizations aren’t waiting for alerts. They’re using AI-driven operational risk modeling to see beyond wind speeds and rainfall totals — and into real-world consequences before they unfold.
Join Juvare and WeatherOptics for an exclusive webinar:
Predicting Impact Before It Happens: Turning Weather Data into an Operational Advantage
- April 15, 2026
- 12:00pm Eastern Time (US & Canada)
- Live on Zoom
Presenters:
- Scott Pecoriello, WeatherOptics
- Jeff Urkevich, Juvare
- Matt Cronin, Juvare
You’ll learn how advanced weather impact modeling is transforming preparedness for governments, utilities, critical infrastructure operators, and enterprise teams.
By combining atmospheric science, AI, geospatial intelligence, infrastructure exposure data, and historical event modeling, WeatherOptics delivers predictive insight into:
• Where power outages are most likely — and how severe
• Which areas face the highest flood probability and impact
• How roads and transportation networks will be disrupted
• Where shipments and supply chains may slow or fail
• Which assets and facilities face the greatest damage risk
• How business operations will be affected — before first impact
This isn’t another weather dashboard.
It’s operational foresight — delivered directly within WebEOC.
Organizations using predictive impact modeling gain hours — often days — of additional lead time to allocate resources, protect assets, and make confident, data-driven decisions ahead of severe weather events.
If your role touches emergency management, utilities, public safety, transportation, infrastructure protection, business continuity, GIS, or operational intelligence — this session is built for you.
Reserve your spot today and see how operational risk intelligence is redefining preparedness.
The future of weather decision-making belongs to those who can predict impact before it happens.