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Satellite images contain vast quantities of data. By analyzing the contents of satellite images over time, we can identify trends in weather, soil, and agriculture. If we combine that data with ground-level sensors, we can gather a clearer understanding of how chemicals in the air or in the dirt map to how things look from above via satellite.
Descartes Labs is a company that gathers high dimensional data about our planet and turns it into machine learning models to be used by customers. In order to do this, the company has built out a data pipeline involving queueing systems, machine learning frameworks, and internal tools that are used to aggregate, clean, model, and measure data.
Tim Kelton is a co-founder of Descartes Labs and he joins the show to discuss the high volume of data and the distributed systems that make up the Descartes Labs infrastructure.
FindCollabs Hackathon #1 has ended! Congrats to ARhythm, Kitspace, and Rivaly for winning 1st, 2nd, and 3rd place ($4,000, $1000, and a set of SE Daily hoodies, respectively). The most valuable feedback award and the most helpful community member award both go to Vynce Montgomery, who will receive both the SE Daily Towel and the SE Daily Old School Bucket Hat
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