As the climate continues to change, global agriculture systems are facing an increasing slew of challenges: greater weather variability, more intense and frequent extreme events, shifting seasons, and crop suitability zones migrating away from historical norms at an alarming rate. Predictive agri-climate technologies initially developed at Stanford University have been commercialized and are being adopted by various players across the food system to improve resilience and efficiency. Not only have these tools proven to be synergistic with the mission of regenerative agriculture, they have proven to be an enabler for it as well. Join ClimateAi's Borna Poursheikhani for a discussion about this technology's role in fueling the adoption of regenerative agriculture principles at scale. This discussion will include various opportunities for the audience to engage and to share thoughts, questions, ideas, and feedback.