Earth's population may peak around 10 billion later this century. To feed everyone while also avoiding climate disaster, A.I. is essential. Today, three leaders from Syngenta detail how ML is transforming agriculture and assuring our future.
Today's episode of SuperDataScience is the first ever with not one, not two, but three guests!
All three guests hail from Syngenta, one of the world's largest agricultural companies. Based out of Switzerland, the Syngenta Group has over 50,000 employees and whopping revenue of over $30 billion annually. We’ve got them on the show today because Syngenta are A.I. pioneers who are leveraging machine learning to enable farmers to nourish us with ever-increasing efficiency and, simultaneously, an ever-smaller climate footprint. All three guests are senior leaders at Syngenta and each is at the vanguard of this socially-impactful A.I. transformation.
Feroz Sheikh:
• Chief Information Officer and Chief Digital Officer at Syngenta Group.
• Was until recently their Global Head of Engineering and Data Science.
• Has separately made education accessible to 200m children through digital tech.
Jeremy Groeteke:
• Head of Computational Agronomy, wherein he leads the Syngenta Group's digital agronomy and data science teams to, e.g., define farm-based experimental designs and create planting/spraying/fertilizer prescriptions to meet the needs of agronomists and farmers.
Thomas Jung:
• Syngenta’s Head of R&D for IT.
• Responsible for the digitization of science to protect our plants and planet by leading Syngenta's DevOps, including for in silico biology and chemistry as well as digital trialing and product development.
Today’s episode is mostly high-level so will be inspiring and educational to hands-on data science practitioners and and non-practitioners alike.
In the episode, Feroz, Jeremy and Thomas detail:
• How data science and A.I. can help us tackle the world’s food security and climate change challenges.
• What computational agronomy is and how it increases crop yields.
• How generative chemistry accelerates the discovery of useful new agricultural compounds.
• How smart growth chambers illustrate today that, on the farms of the future, ML will precisely monitor and assist every plant at every moment from seed to harvest.
• Ideas for how you yourself can apply ML to help feed the world.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.