Free Webinar on Smart Fire Defense for Landfills Featuring Keynote by Debra J Deininger, Srini Kakkera and Al Silvas

Gilroy, California Jul 17, 2025 (EMWNews.com) – Early Detect Inc., a pioneer in AI-powered wildfire prevention solutions, today announced an upcoming webinar titled “Smart Fire Defense: AI and IoT Strategies for Landfill Wildfire Prevention.” The live virtual event will take place on July 22, 2025, at 11 am PST and will feature Debra J. Deininger, Srini Kakkera, and Al Silvas, a noted technologist and industry leader, as the keynote speaker.

As landfill fires increase in frequency and severity, this timely session will explore how artificial intelligence, thermal imaging, methane sensors, and IoT platforms can proactively detect and prevent fires, reducing risk to operations, communities, and the environment.

“We’re excited to welcome Srini Kakkera to this discussion,” said Lynne Long, Host & VP Operations of Early Detect Inc. “His deep expertise in AI, critical infrastructure, and real-time risk mitigation will provide valuable insights for landfill operators and environmental leaders.”

Webinar Highlights:

• The top causes and warning signs of landfill fires
• How AI, drones, and multi-sensor systems deliver early detection
• Real-world case studies of fire prevention technology in action
• Regulatory considerations (EPA, NFPA) and compliance benefits

Event Details:

• Title: Smart Fire Defense for Landfills – AI & IoT Strategies to Prevent Wildfires
• Date: July 22, 2025
• Time: 11am PST
• Format: Live Webinar (Free Registration)
• Register: https://lnkd.in/gZTzynie

Who Should Attend:

Landfill operators, environmental health & safety managers, public works officials, waste management professionals, sustainability leaders, and fire risk consultants.

About Early Detect Inc
Early Detect Inc delivers AI-powered risk prevention and monitoring systems for critical infrastructure, using smart sensors, real-time analytics, and machine learning to help operators prevent disasters before they start