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Knowledge Graphs 2.0: High Performance Computing Emerges

In this contributed article, editorial consultant Jelani Harper discusses The how increasing reliance on knowledge graphs parallels that of Artificial Intelligence for three irrefutable reasons. They’re the most effective means of preparing data for statistical AI, creditable knowledge graph platforms utilize supervised and unsupervised learning to accelerate numerous processes, and their smart inferences are a form of machine intelligence.

The Rise of No-code Knowledge Graphs

In this contributed article, Marta V. Lopata, Chief Growth Officer at Kgbase, discusses the use of knowledge graphs. With a no-code approach, they bring the best of the data science world to medicine, finance, business, education and the arts enabling anyone to generate and visualize unique insights from siloed data sources.