• EP #408 - Miller Mendoza Jiménez: AI to Tackle Global Food Challenges

  • Jun 5 2024
  • Duración: 1 h y 5 m
  • Podcast

EP #408 - Miller Mendoza Jiménez: AI to Tackle Global Food Challenges  Por  arte de portada

EP #408 - Miller Mendoza Jiménez: AI to Tackle Global Food Challenges

  • Resumen

  • Timestamps:

    8:17 - Building a startup during COVID

    16:17 - AI predicting unpredictable climate changes

    29:20 - Mindmapping customer problems

    44:36 - Bootstrapping when you have to

    1:00:11 - Valuing the skill of communication


    About Miller Mendoza Jiménez:

    Miller Mendoza Jiménez is the co-founder, CTO and Latin America Regional Manager at Grundo, a technology advisory and analytics startup aimed at tackling sustainability challenges globally that can be solved using open data systems, technology-based tools, and services. He holds a PhD in Physics from ETH and worked there as a research assistant, senior research scientist and lecturer before starting Grundo in 2020.

    Grundo aims to solve the issue of food security, which will become more and more relevant in the coming years due to climate change. This is because changes to the climate equal extremely unpredictable weather, ranging from heavy rains to heavy draughts. Weather instability is in general bad for crops, and heavy rains in particular damage the fertility of soils through erosion. Add to that the population increase, and it is estimated that by 2050, we will need to increase the agricultural output between 50-70% to have enough food for the global population.

    Grundo answers critical food security questions like “How much wheat and corn can we expect from Germany in three months? How about in Europe, Asia or Africa?” They uncover the answers by building AI algorithms and using satellite data to provide insurance companies with data on which to tailor premiums for crop insurance, and to provide governments with data which enables them to efficiently subsidize sustainable farming practices.


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