GraphAware Blog

New HTTP API Actions available directly in the visualisation interface

Last month, GraphAware data scientists attended Nodes 2023 – a 24-hour online graph community gathering dedicated to learning how to integrate graph technologies into ML and dev projects. The hot topics this year were:

We are proud to announce the release of Hume version 2.21. This release introduces new features in Visualisations, Orchestra, Alerting, and more.

We are excited to announce a significant development in the field of graph-based analytics. We’ve teamed up with Neo4j to integrate their recently launched CDC (Change Data Capture) feature into our leading graph analytics tool, Hume. This partnership is transforming the landscape of graph technology, providing intelligence agencies and other organisations with powerful tools to unlock their mission-critical capabilities.

The emergence of Large Language Models (LLMs) has dramatically changed the natural language processing (NLP) landscape. The reason lies mainly in their ability to understand and analyse natural language and, at the same time, generate human-like responses.

Have you ever dreamed of producing a Knowledge Graph (KG) from a pile of textual documents at the click of a button?

We are proud to announce the release of Hume version 2.20. This release introduces new features for Hume Core and Orchestra. Hume 2.20 introduces new features in Actions, improvements for Advanced Expand, and more.

Tax fraud poses a significant challenge for governments and organisations worldwide, resulting in revenue loss, economic instability, and erosion of public trust. Traditional methods of combating tax fraud often fall short due to fraudulent schemes’ complex and constantly evolving nature. These schemes often involve complex networks of entities, transactions, and false documentation, which Relational databases struggle to handle.

As the Chief Scientist at GraphAware, I have the privilege of working at the forefront of two exciting and rapidly evolving fields: graph technology and machine learning. These technologies have seen remarkable progress in recent years, and I am excited to share with you some of the latest developments and breakthroughs that are transforming the way we think about data and its potential.

Today marks a significant milestone for us at GraphAware as we are celebrating our 10th anniversary.