🌍 AI in Africa - Radiant Earth

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 – X
• Abba Barde – LinkedIn, X
• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X
• Joyce Nabende – X

Show Notes:

• Radiant Earth
• ML for Earth Observation online course
• “Spot the crop” challenge
• Open for Good Alliance

Something missing or broken? PRs welcome!

Creators & Guests

Host

Chris Benson

Host

Daniel Whitenack

Guest

Abba Barde

Guest

Hamed Alemohammad

Guest

Joyce Nabende

What is Practical AI?

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!