About a year ago, I first logged into Hume - in the morning, I had started my new job at GraphAware, and a few hours later, I had a canvas in front of me with a few person nodes connected by relationships. Hume Visualisation. The graph: a murder mystery. Me: a newbie, never typed a line of code in any query language.My eyes went all over the screen - “how can I make this thing work?” - and got stopped on the right-hand side, where a sidebar was labelled with “ACTIONS.” “Well,” I thought, “Action is just what I need...
I like to think of 2021 as the year of consolidation for GraphAware. The growth, changes, hits and misses all somehow began to pull together the threads that have existed or developed through the last 8 years into one strong, coherent strand.Hume - more solid than everHume delighted even more organisations around the world with compelling graph-powered insights. This year has been a very successful one for our customers who use Hume to detect fraud, save lives, protect citizens and build knowledge graphs for drug discovery, biochemistry and research. Their success inspires us to innovate all the time and evolve...
Graphs are a natural fit for investigative use cases. Whenever you want to analyse a situation containing people, objects, locations, and events (POLE), graphs emphasising relationships between objects are your natural companion.To gain a basic situational understanding, you need to first analyse and understand the rough shape of your data. Who is who, what is what, and how is everything in your model connected. The closer the model is to the actual reality, the more reliable will be the answers you want to get from it. Here is where you don’t want to be constrained by fixed tables (looking at...
“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.”In this series of articles about microservices, we’ll go through the widespread notions of what it feels like to work with microservices. We’ll attempt to explain under what circumstances some - arguably a little blunt - misconceptions hold true. We’ll do...
Just a couple of days ago, we hosted a Fraud Detection webinar. We chose to focus on credit card fraud to illustrate how Hume can help detect fraud faster. Our Director of Product, Esther Bergmark walked you through an example of a credit card company investigator looking into suspicious, fraudulent developments. Let me share what we covered at the webinar.Introduction to HumeGraphAware is a proud creator of Hume - a graph-powered fraud-detection and insights engine sitting on top of Neo4j. Hume is the missing link between Neo4j and the end user, which has the capacity to bring the power of...
As you know, last week, we hosted an open Q&A event with our very own Dr. Alessandro Negro - the Chief Scientist at GraphAware and author of the book Graph-Powered Machine Learning. In this short blog post, we’d like to share some of the highlights from the event for those of you who missed it.The event opened with an introduction from GraphAware CEO, Michal Bachman, who shared his excitement over the perfect timing of the book. To quote, Michal said, more and more people are starting to realize that graphs and machine learning are “a natural fit, a match made...
As you know, our Chief Scientist, Dr. Alessandro Negro, recently published a book titled Graph-Powered Machine Learning. We are very proud of the Chief, and very excited about the book. We’re even planning an event, where you’ll be able to ask Alessandro anything about it!But what is really in the book? Let me share what the first chapter is about so you know what you’re in for - a treat! The book opens with an introduction to Machine Learning and Graphs. The first chapter covers Machine Learning, some of the challenges of Machine Learning, Graphs, and the role Graphs play...
As someone with a background in performance engineering I was asked to cover this year’s Performance Summit Conference and share my experience with the team.No socializing this time between presentations - the conference was all online in keeping with the times.I grouped the summaries based on the subject of the presentations - mobile, machine learning and system/linux so that readers can jump to the category of interest to them.MobileThe first day was started by Nian Sun - Tech Lead at ByteDance with Task scheduling optimizations in Mobile Applications. A good choice to start the summit with as it was pretty...
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.Hume’s powerful Actions capability has been further improved in terms of usability and Geospatial and Temporal Analysis, as well as Grouping which has been further improved and is now no longer experimental but generally available.In Hume 2.10 you can: Add conclusions to the analysis using Comments. Collaborate with others...
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...
