Dwane Roth is a fourth-generation farmer growing corn, wheat, sorghum, and sunflower in southwestern Kansas. Back in 2016, the state of Kansas launched a three-year pilot designed to test the latest water conservation technologies on three working farms. Dwane’s farm was one of them. Seeing the benefits, Dwane became an outspoken advocate for high-tech approaches to water conservation – approaches that could help restore the critical Ogallala Aquifer running underneath most of western Kansas. In this episode, we ask how data-driven predictive tools are helping farmers use less water and improve yields. Plus, we look at how data and AI are getting excess food to those who need it most. And we confront the paradox of hunger and food waste existing at the same time, in the same places. Guests: <ul><li>Emily Ma, head of special projects in REWS sustainability at Google</li><li>Prem Ramaswami, head of Data Commons at Google</li><li>Stephanie Zidek, vice president of data and analytics, Feeding America</li><li>Dwane Roth, farmer and water conservation advocate in Kansas</li><li>Astro Teller, captain of moonshots at X, the moonshot factory</li></ul>Watch <a href="https://www.youtube.com/watch?v=CVxYTWmM0Mw">our complimentary documentary</a> about how data and AI are getting excess food to those who need it most, and the paradox of hunger and food waste existing at the same time, in the same places.

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