GraphAware Blog

We are proud to announce the 2.10 release of Hume. With this release, Comments are introduced to Hume, which lets you add text, images, and links as comments to nodes and relationships. Additionally, Snapshots can now be shared, and Temporary Visualisations can be created and accessed by other users via a URL.

Welcome to the first blog in the business series of GraphAware blog! This series is designed for us non-techies out there. Personally, I was shocked when I found out how big and common knowledge graphs are and how often graph databases are used in today's world - and I had first heard of them just a couple of months ago. So, for people like me, for marketers and non-tech people in business, I'll try to open the door to the world of graphs, and their potential and take you through it step-by-step. It seems only appropriate that we start with...

This blog post is the first part in a series on Effective Graph Visualisations, showcasing features emerging from years of experience in the field.

“Alright, could you please tell us a few benefits and drawbacks of working with microservices?” - starts the usual tech interview question, and the traditional answer often follows: “They’re smaller; therefore, they’re easier to develop and to troubleshoot. There’s better scaling control on parts of the system. They can be written in different programming languages. They can be deployed individually.”

Knowledge Graphs (KGs) have become one of the most powerful tools for modeling the relations between entities in various fields, from biotech to e-commerce, from intelligence and law enforcement to fintech. Starting from the first version proposed by Google in 2012, the capabilities of modern KGs have been employed across diverse applications, including search engines, chatbots, and recommendation systems.

Breadcrumbs is a blockchain analytics platform accessible to everyone. It offers a range of tools for investigating, monitoring, tracking, and sharing relevant information on blockchain transactions.

Organisations do not suffer from a lack of data or qualified people who analyse it and draw conclusions but rather from the size of relevant data sets and the limited amount of time skilled people can spend on exploration and analysis. In this blog post we show how Hume Alerts can be used to solve this issue.

Not so long ago, our very own Luanne gave an amazing talk titled Maltaware: Discovering what to drink with Neo4j on Nodes2020. Luanne demonstrated the value of graphs, and why they are the perfect fit for recommendation engines with an example of a whisky recommendation engine. Let me quickly walk you through a summary of why graphs and recommendation engines go together so well.

GraphAware is now going through an extremely exciting phase. In 2020, we launched our own amazing product Hume, the only graph-powered insights engine in the world, which helps companies shed light on their complex data and make smart decisions. Since then, we have been rapidly growing in all aspects. Our ambitious plans will need plenty of talented people, who want to have a direct impact on a company’s success. Right now, we are already advertising for multiple vacancies, and the number will only grow in the coming months (check out our career page if you are already intrigued).

Before I started at GraphAware I spent many years in research, both academia and industry, focusing my attention on machine learning and image processing.