Remove Knowledge Discovery Remove Structured Data Remove Visualization
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On the Hunt for Patterns: from Hippocrates to Supercomputers

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These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. Thanks to their might, now scientists and practitioners can develop innovative ways of collecting, storing, processing, and, ultimately, finding patterns in data. Certainly not!

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From Data Silos to Data Fabric with Knowledge Graphs

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Connecting the data in a graph allows concepts and entities to complement each other’s description. Given a critical mass of domain knowledge and good level of connectivity, KG can serve as context that helps computers comprehend and manipulate data. Maximize the usability of your data.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

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Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Linked Data, subscriptions, purchased datasets, etc.).