Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases

Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database for your use case is essential if you want to be like the Airbnbs, Amazons, Googles, and LinkedIns of the world.

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Artifictional Intelligence: is the Singularity or the Surrender the real threat to humanity?

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Artificial intelligence is one of those things: overhyped and yet mystical, the realm of experts and yet something everyone is inclined to have an opinion on. Harry Collins is no AI expert, and yet he seems to get it in a way we could only wish more experts did. Collins is a sociologist. In his book “Artifictional […]

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Knowledge graphs in Gartner’s hype cycle. The Year of the Graph Newsletter Vol. 5, September 2018

Knowledge graphs in Gartner’s hype cycle. The Year of the Graph Newsletter Vol. 5, September 2018

Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune. Not bad for a typical summer vacation month such as August. This edition of the Year […]

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