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

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. We get this question regularly.

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

In parallel, we have the Linked Open Data (LOD) cloud, which currently contains 1,301 datasets with 16,283 links – datasets with mappings across them ( [link] as of May 2021). We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Matt Turek, Explainable Artificial Intelligence (XAI), DARPA, Retrieved from [link] on July 6 2021. Conference on Knowledge Discovery and Data Mining, pp. def create_model(): sgd = optimizers.SGD(lr=0.01, decay=0, momentum=0.9, International Joint Conferences on Artificial Intelligence, Inc. Erhan, Yoshua Bengio, Aaron C.

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