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Introduction to dRISK Edge
Edge is an AI canvas that offers flexible, no-code analysis of complex, high-dimensional datasets.
It empowers developers and decision-makers to uncover hidden patterns, sources of bias, and outliers within their arbitrarily structured data, enabling a deeper understanding of their domain's risks and opportunities.
By visually interacting directly with the data alongside AI agents, Edge allows users to quickly surface the most meaningful patterns and hence focus on critical areas such as high-risk edge cases, optimizing their models as a result. dRISK Edge has successfully delivered solutions to industries such as Transportation, Supply Chain, Healthcare, Insurance, Audit and Assurance, and Standards.
Quick Links
Watch Edge Trailer ↗ t e x t Open Edge ↗ t e x t dRISK Website ↗
Contents of this guide
For an introduction to Edge, explore the following pages:
- Data Model introduces the graph structure and some common node types.
- Visual Tour contains an annotated walk-through of the Edge app interface.
Follow along an example use case such as:
- "Predicting taxi fare costs" and "Building a Road Risk Assessment" in Transport
- "Identifying High Risk Companies" using the UK Company House dataset in Supply Chain
- "Predicting High Cost Patients" from fused healthcare datasets in Healthcare
Or to get started with your own datasets, there are descriptions of all possible actions grouped by workflow in the How-To section:
- Start with How To Upload Data To Edge
- How To Create Views will walk you through how to create views such as bar-plots, histograms, and spatial views.
- How To Interact With Your Data covers how to zoom and pan within views
- How To Customise Your Views covers how to select, move, colour, and layout the nodes in your views
- Following this, you may want to Extract Features from unstructured text within your data, Calculate Statistics on the numerical features, and Make Predictions.