In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation.

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Sponsors:

Me, Myself, and AI – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI.
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Featuring:

Hamed Alemohammad – Twitter
Abba Barde – Twitter, LinkedIn
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website
Joyce Nabende – Twitter

Show Notes:

Something missing or broken? PRs welcome!

🌍 AI in Africa - Radiant Earth 43:07 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

🌍 AI in Africa - Radiant Earth