The Nexus Linking IBM, California Wine, and Climate Modeling
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By 2015, Hamann says, the technology—which uses machine learning to extract insights from multiple layers of information—proved itself. Gallo improved yields on the test site while reducing water use. The partnership quickly found another use for IBM’s AI: analyzing a number of variablessuch as proximity to the winery, weather patterns, elevation, days of sunshine, and other factors toidentify suitable locations for new vineyards.
Previously, this process would take Gallo months, but with the new system, deciding where to plant new vines takes minutes, says Hamann.
Source: ieee.org
