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Cropin’s agriculture industry cloud to provide apps, data frameworks

CIO Business Intelligence

The third layer, Cropin Intelligence, uses the company’s 22 prebuilt AI and deep-learning models to provide insights about crop detection, crop stage identification, yield estimation, irrigation scheduling, pest and disease prediction, nitrogen uptake, water stress detection, harvest date estimation, and change detection, among others.

B2B 85
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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Enterprise Repository Era” (1990–2010) – first generation DG solutions. More Policies Emerged” (2010-2018). We find ways to improve machine learning so that it requires orders of magnitude more data, e.g., deep learning with neural networks. though not much concern overall. In short, the virtuous cycle is growing.

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The Artificial Intelligence Opportunity: A Camel to Cars Moment

Occam's Razor

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). The first related to pure deep learning and its amazingness, I was familiar with this one. Pretty damn fast. It truly is mind-blowing.