Whether you’re an emergency manager or a firefighter, whether you work for a land management agency or an energy company trying to contain risk, this webinar is for you. We’ve expanded the wildfire detection capabilities in AEM Elements™ 360 to help you detect wildfire threats faster while boosting confidence and efficiency in your response. What we’ve created is the first-ever truly integrated Multi-Source Ignition Detection solution. The solution leverages AI to identify smoke in camera images and to identify ignitions based on changes in air quality. And it automatically cross-checks suspected ignitions against data from our Total Lightning Network and satellite hotspots. We’ll show you how to leverage these new capabilities to streamline wildfire response and develop a more comprehensive, multi-dimensional perspective on wildfire ignitions. Key takeaways:
- How to implement AI Smoke Detection in Elements 360
- Why no single data source, including AI, should be used alone
- How to leverage AI Smoke Detection in tandem with other data sources
- How a unified, multi-dimensional view of wildfire risk can future-proof your efforts
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Featured Speakers
Ben Twomey is AEM's Global Segment Leader and Director of Product Management for Wildfire. Ben brings to AEM more than two decades of experience in leading the development of decision-support solutions across a variety of industries, focusing on predictive analytics and applied simulation. He’s been an active volunteer firefighter for more than a decade and continues to serve his community as a volunteer Brigade Officer and a senior Fire Behavior Analyst for Queensland Fire and Emergency Services. Since 2015, he has been architecting and building advanced wildfire risk and predictive analytics systems with unique solutions to guide wildfire response, preparedness, and prevention decisions – both for Queensland Fire and Emergency Services and in the commercial sector.
