Logistics Optimisation webinar highlights
A couple of days ago, we hosted a Logistics Optimisation webinar. We covered some challenges of Logistics Chains and talked about how graphs, graph technology, and Hume can help you tackle them....
Graph-Powered Insights
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."
Vincent BridgemanVice 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.”
Dr. Alexander JaraschHead 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."
Marc PouProduct Owner, InfoJobs
Neo4j Consulting
We support you at every stage of your graph journey. From getting started with Neo4j, through to customising, optimising, and realising the full potential of graph technologies and graph data science.
Get expert adviceGraph-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.
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Learn more from our experts
Enjoy resources created by our graph experts to help you get the most out of your data.
Data Orchestration meets Graph Analytics
Organisations face a dilemma: the data they have gathered bears immense potential, yet leveraging it is a significant challenge. This blog post outlines an approach to solving this problem by combining graph...
Intro to collaborative filtering
Welcome back to the Graph-Powered Machine Learning book club. Now we are in the section of the book that focuses on recommendations. In the last blog, I summed up how content-based recommendations...