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7. Optimizing Entity Resolution and Graph Expansion to Enhance Performance of Streaming Solutions
Introduction Entity Resolution (ER) and graph expansion are fundamental components of high-performance streaming solutions, particularly in near real-time detection use cases. These processes help identify Entities, relationships, and connections that support risk detection, fraud prevention, and other analytical…
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6. Searching Entities from the Quantexa Entity Store Without Document Ingestion
Designing solutions that leverage the Quantexa Entity Store often requires a flexible approach, particularly when you need to test or retrieve Entities without fully ingesting a Document into the platform. In such scenarios, Quantexa’s Search Related Entities REST API provides an efficient means to query Entity Store,…
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Tips & Tricks for Managing Large and Complex Networks
As an Investigator, you may have found that Entities and Networks are helpful for identifying potential risk in the investigation process, using connections across documents and Entities. However, seeing all the available data connected through transaction flows, trades, direct links, or indirect links can present its own…
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6. 🎥Webinar - One System, Many Solutions: Quantexa for Multiple Use Cases
This webinar discusses how organisations can best support multiple use cases within a single Quantexa system. Learn how Quantexa Platform components can be reused and shared to save costs, whilst maintaining the independence and flexibility critical to meeting the requirements of each business application. In this session,…
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How I Became a... Technical Lead (TL)
Meet Kayla… Hi, I’m Kayla and I’ve been a Data Engineer with Quantexa for five and a half years, holding the role of Technical Lead for three of those. At Quantexa, a Technical Lead (TL) is responsible for meeting the deliverables and success criteria that have been set. As a TL, I lead technical teams comprised of…
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Decision making beyond local Graph context
Background When investigating an Entity in the Quantexa Graph, it is common for an investigator to start from the Entity in question, and expand through the Graph along related documents and Entities to find relevant linked information. This is standard practice in many contexts, for example in various risk applications,…
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How I Became a... Lead Data Engineer
Meet Charlotte… My current job title is Lead Data Engineer, but this captures a variety of activities. The things I’m responsible for range from technical leadership of a project team (coordinating the Development Team and contributing to the technical work needed to deliver the Quantexa), to leading the Data Practice…
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Revolutionizing SME Classification: Quantexa's Scalable Solution
This article describes Quantexa's new SME (Small or Medium Sized Enterprise) classifier. Our classifier has been informed by European Commission rules. It has been implemented to be able to scale for large legal hierarchies. Introduction The world we know today is built on the premise of successful organisations and…
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What Can Network Structure Tell Us About Risk?
By Matt Jackson and Christina Tkachenko Background Corporate registry Documents provide useful structured information for use in risk modelling. In particular, the information within can be a good indicator of suspicious activity. Yet, sometimes this information is not enough to inform a decision or take an action. By…
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4. How to add Edge Labels to the Quantexa UI
This article covers the importance of Edge Labels and walks through the necessary setup to display them in your User Interface (UI). What are Edge Labels? A Network in the Quantexa UI consists of a collection of Nodes (Documents or Entities) and Edges representing a relationship between those Nodes. Edge Labels are added…
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6. How to make the most out of Intellij IDEA
This guide covers useful setup, resources and resolutions to typical issues encountered in Intellij IDEA when developing the Quantexa solution. Importance of setting up Intellij IDEA Intellij IDEA is an Integrated Development Editor (IDE). An IDE comes with more features than a typical text editor to improve software…
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AI at Quantexa
AI is at the heart of the Quantexa Decision Intelligence Platform, helping users unify data and create context to make accurate and reliable decisions. Machine Learning (ML) and AI are applied in four distinct areas within the Quantexa Platform: Composite AI within Quantexa The Quantexa Platform uses multiple AI techniques…
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A day in the life of Monty... Chief Innovation Mascot
To fully explain Monty’s role as a chief innovation mascot we need to first start with some other introductions. Let’s start with @Parsa_Ghaffari , entrepreneur extraordinaire, previous CEO of Aylien (now part of Quantexa and known as News Intelligence), initial creator of Q Assist and Head of Product Innovation. Product…
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A day in the life of... a Technical Business Analyst
The Business Analyst Team serves as a key link between our technical developers and the end users. Our role is to help clients navigate their journey towards achieving optimal technical and business solutions across a variety of use cases. Day-to-day, we collaborate with Project Managers, Technical Leads (TLs), Solution…
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A Day in the Life of a... Data Engineer
The Data Engineering team at Quantexa is responsible for implementing Quantexa’s technology solutions for clients worldwide, spanning various sectors such as banking, insurance, government, and healthcare. We manage the entire data pipeline, from ETL processes to UI configuration. Our tasks include ingestion of the data,…
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Introduction to User Journey Analytics
What is User Journey Analytics (UJA)? User Journey Analytics (UJA) is a service developed as part of the Quantexa Platform that tracks and collates end-user activity, enabling analysis and understanding of usage data to help maximize the value of the Quantexa Platform. How does UJA work? UJA receives events from the User…
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4. Quantexa Academy - Using Gradle effectively
Summary - We use Gradle to build and compile our projects with simple commands that do a lot for us in the background. Avoid doing full build commands (gradle build) unless absolutely necessary, and instead build specific components/JARs as this will be much faster. Finally, you can chain Gradle commands together into…
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1. Introduction to the Quantexa Academy
About the Quantexa Academy The Quantexa Academy is a modular learning experience that teaches individuals the key skills needed to successfully develop, deploy, and use the Quantexa Platform. It offers a range of courses and programs. The technical certification programs (Academies) offer assessments that allow learners to…
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A Day in the Life of ... a Global Partner
Meet Phil Phil is the Global Partner of NextWave’s Quantexa Partnership overseeing business development, solution success and delivery success. In addition to managing several other strategic alliances, Phil co-leads the NextWave data practice, where Quantexa plays a pivotal role as a core solution capability. Who are…
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3. Custom Regression Testing Using Statistical Profile Testing Framework
The purpose of this article is to share some custom tests our Correspondent Banking project implemented using the Statistical Profile Testing (SPT) Framework. The SPT Framework includes some out-of-the-box test suites. However, unique deployment requirements can mean custom tests are sometimes needed. What is the SPT…