Solving World Hunger One Data Lake At A Time
Vice President of data and analytics at The Climate Corporation, Dan McCaffrey, is on a mission to solve the world’s imminent food shortage. He leads a team of data scientists and engineers who are building an information platform that collects massive amounts of agricultural data and applies machine-learning techniques to determine new patterns in the environment. However, this insight requires a lot of data. That means using remote sensing and other techniques to map every field in the United States and then combining that information with climate data, soil observations, and weather data. To manage all of this data, data lakes are created. These data lakes can be beneficial as long as analysts don’t drown.
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