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I'm your host, Elise Hugh.

The work of conservationists across the globe is vital, but also painstakingly slow.

Too slow compared to the rate of climate change. In this talk, AI visionary Juan M. LaVista Feres, who leads Microsoft's AI for Good Lab,

introduces a new technology that is transforming how conservationists work and shares how it can dramatically increase our ability to care for this planet's

vital ecosystems.

Let me introduce you to Andres Rojas.

Every couple of weeks, Andres hikes deep in the Colombian rainforest,

passing through mud and swamps of mosquitoes.

Not for adventure, definitely not for fun, but to do his job.

He needs to replace batteries and change memory cards of camera traps and bioocoustic devices. This is the critical infrastructure

of conservation science today. People like Andres are heroes. And thanks to their effort, they have

saved species from the brink of extinction. Their 200,000 conservations in the world, and all of them

share one thing in common. To do their job, they need data.

But we live in an interesting world where we have refrigerators

that can text you if you're running out of milk.

Conservation is still need to hike for days just to see if an animal passed by.

Conservation today is heroic, is needed, but it's painfully slow.

Last year, I was proudly presenting at a biodiversity conference some of our latest air models,

but it was in fact a very humbling moment.

Because when presenting to them, I realized that even though they were

using our models, once you understood the hassle that they needed to go through, from installing

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