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Improving asset health and grid resilience using machine learning

AWS Machine Learning Blog

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. Finally, there is no labeled data available for training a supervised machine learning model.

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A New Look at the Semantic Web – Communications of the ACM

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From the very early days of the World Wide Web, researchers identified a need to be able to understand the semantics of the information on the Web in …

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How to use large language models and knowledge graphs to manage enterprise data

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In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking and insurance, to retail and more. A knowledge graph is a graph-based database that represents knowledge in …