There are many ways to define a knowledge graph. At its most basic, a knowledge graph is a large network that stores data on entities and on the relationships between these entities. These entities — ...
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Last year, we identified blockchain, cloud, open-source, artificial intelligence, and knowledge graphs as the five key technological drivers for the 2020s. Although we did not anticipate the kind of ...
One of the challenges with modern machine learning systems is that they are very heavily dependent on large quantities of data to make them work well. This is especially the case with deep neural nets ...
Amazon Web Services Inc.’s newest open-source project is Graph Notebook, a tool that enables data scientists to analyze and visualize information that their companies store in graph databases. Graph ...
This may come as a shock if you've first encountered knowledge graphs in Gartner's hype cycles and trends, or in the extensive coverage they are getting lately. But here it is: Knowledge graph ...
Knowledge graphs are becoming an increasingly important tool that organizations are using to manage the vast amounts of data they collect, store, and analyze. An enterprise knowledge graph’s ...
Compliance automation isn’t exactly the most exciting topic, but security audits are big business and companies that aim to get a SOC 2, ISO 207001 or FedRamp certification can often spend six figures ...
Seattle startup Trovares has raised another $1.35 million to help boost its graph analytics business. The 9-person company launched in 2015 and is led by Jim Rottsolk, former CEO at Cray, the Seattle ...
Almost as soon as the COVID-19 pandemic began, graphs and many other visualisations charting the rise of the virus started to multiply. Many show the cumulative number of deaths attributed to the ...