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Technology - Graph Neural Networks
(GNNs) out of the box’

Deep learning led to AI breakthroughs in image and language processing -- but, to date, deep learning methods have been largely limited in applicability to images (matrices) and text (sequences).

Your enterprise data naturally forms a graph, representing a rich, interconnected web of business relationships, interactions, customers, transactions, and more.

GNNs generalize deep learning to graph data. GNNs are the only deep learning architecture that is not fixed but adapts to the shape and structure of the underlying data.

Kumo brings GNNs to enterprise data in a way that is both scalable and easy to use. We represent it automatically and optimally in graph form, leveraging its inherent connectedness to deliver better accuracy even with less training data.

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