Earth Observation

Would you defend the position that “AI, and not humans, hold the key for understanding risk today”? and would you do it at the plenary of the largest and most important conference about disaster risks, hosted by the World Bank? That’s what I just did in Himeji, Japan. On a debate where the opposing side was Ivan Gayton, from Humanitarian OpenStreetMap Team, who does tremendously important work empowering communities where it matters most, in most difficult places. Someone who is very much on top of all the hype of AI, and part of his job is to extract the real value. So he did have great arguments that humans should hold the key. ...

We have a very clear set of needs to understand Earth’s climate and nature, including measuring biodiversity, mapping disasters, and monitoring crops, to mention just a few. Yet despite having an enormous amount of diverse, Earth data (both open and commercial), most insights about the Earth are locked in the data, requiring very advanced technical skills, resources, time, and tools to use it. We believe we finally have the missing piece to unlock this situation. To transition Earth Observation beyond being the scribes of doom, and instead support the change we want to see in the world, removing complexity and adding clarity and speed. That last piece we needed is AI. AI for Earth. ...

AI is changing the world of text, images, audio, … but not Earth data. Yes, its hard to work with, but not only we are dropping the [globe] ball, AI for Earth has outsized benefits (impact and profits alike), specially if done fully in the open. Last year Dan Hammer and I noticed a glaring oversight on the current tsunami of AI: the largely untapped potential for Earth. We have amazing breakthroughs in AI with text, images, video, and audio — but not Earth data. This is deeply disappointing considering the massive global challenges we face related to nature, climate change, and sustainability. I think part of the reason for this gap in AI is that AI and geospatial skills are the bottleneck. Earth data is very difficult to store, process, and work with. So AI+Geospatial is an extremely niche set of skills. ...

AI dominates every digital space. More specifically OpenAI with ChatGPT and GPT4, clearly outperforming [at least in public perception] usual suspects like Google who claimed to be “AI first”, since 2016. The irony is that OpenAI uses Transformers for its star product ChatGPT and friends, which is a Google invention from 2017. There are many reports that Google sounded the alarm to catch up, and yesterdays Google IO shows they are all-in. But a comparison between OpenAI and Google strategies, in my opinion, reveals starkly contrasting strategies: OpenAI goes loudly and boldly all in on generative text, and Google (more silently) on embeddings. ...

The new Planetary Computer just dropped. Today is Release Day. Loads of data, enhancements, bug fixes and more. See the Changelog for details.