IT architectures have witnessed an increasing amount of dispersal and segmentation over the last decade of their life cycle as new data and new technology have made their impact with 62% of enterprises planning to modernize their existing on-premises data …

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In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.