Data Overload! Improving Wildfire Situational Awareness in an AI World episode artwork

EPISODE · Mar 30, 2026 · 27 MIN

Data Overload! Improving Wildfire Situational Awareness in an AI World

from Fire & Safety Journal Americas Podcast · host Fire & Safety Journal Americas

As the volume of weather and risk data continues to explode in today’s AI-driven world, utilities face a growing challenge: turning information into actionable insight. For 20 years, Indji Systems has helped electric system operators cut through the noise with Indji Watch—using patented modeling to track real-world threats like wildfires and lightning as they interact with power lines and other critical assets. By focusing on asset-specific impacts rather than generic data, Indji delivers the precise situational awareness utilities need to protect infrastructure, improve safety, and make confident operational decisions.

Episode metadata supplied by the publisher feed · Published Mar 30, 2026

Embed this episode

Ready to play

Data Overload! Improving Wildfire Situational Awareness in an AI World

0:00 27:49

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Fire & Safety Journal Americas Podcast?

This episode is 27 minutes long.

When was this Fire & Safety Journal Americas Podcast episode published?

This episode was published on March 30, 2026.

Can I download this Fire & Safety Journal Americas Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!