The release of Neo4j 4.0 brought many improvements, one of them being a reactive architecture across the stack, from query execution to client drivers. But how does that compare to other approaches...
Combining the power of knowledge graphs and machine learning, Hume provides insights into distributed, heterogeneous, disconnected, and siloed data, thereby unlocking its hidden potential.How hume can help
"GraphAware has assembled a truly unique team of thought leaders and experts with a ‘unicorn’ combination of graph and related data science skillsets, at a time when demand is exploding. And with the release of the Hume platform, our partnership has deepened to even replace IBM Watson with the leading edge Hume platform."
Vice President, Redhorse
“Together with GraphAware we have combined graphs with extensive Natural Language Processing (NLP) on a multi-million dataset of articles spanning a knowledge graph. We are absolutely thrilled by the results and the new insights which will help us in the fight against diabetes.”
Head of Bioinformatics and Data management, German Center for Diabetes Research
"GraphAware didn’t just help us build our recommendation service, they helped our developers acquire a whole new set of programming skills."
Product Owner, InfoJobs
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Graph-Powered Machine Learning
Written by GraphAware's Chief Scientist, the Graph-Powered Machine Learning book introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at core concepts, techniques, best practices, and common pitfalls.Learn More
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Enterprise Integration has existed since many, many years. Although it might seem like an old set of patterns, the reality is that more and more data silos, protocols and systems have been...
GraphAware is proud to announce the 2.8 release of Hume, our graph-powered insights engine. The release adds further unique capabilities to Hume’s knowledge graph visualisation and graph data analysis capabilities. Analysts, data...