Even a long journey starts with the first step. Making sense of all the data your company generates daily and all the external data sources you may need can definitely be a...
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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Advanced Expand is one of our favourite features. It allows you to explore your graph visually - without needing to write a single line of code. In this blog post, we dive...
So far, we have learned about collaborative filtering, content-based, and session-based recommendations. None of these approaches takes the situational context under consideration. Factors such as mood, occasion, location, company, etc., can affect...