A vision for how the NHS could embrace accountable AI lifecycle management
One of the most crucial developments in AI – and one which has enjoyed exponential growth recently – is its application for the advancement of medical research and predictive analytics. When applied to the analysis of large and complex data sets – for example databases comprising hundreds of thousands of medical images from multiple sources and locations – AI is a very useful assistive tool, supporting with triage and diagnoses that would otherwise require considerable time and expertise from highly experienced clinicians.
Feature Preview: Multiple Image Sources
We’re currently working on a new capability for Zegami which adds a new dimension to image analysis, and we’re really excited to be able
We’ve added the ability to create Zegami collections with only images. It’s never been easier to create a Zegami collection and should take only minutes to start gaining insights into a set of image files.
Automated image and data clustering
We are excited to introduce our new feature – Automated image and data clustering! Besides offering a fascinating representation of the data, it provides some immediate practical benefits such as efficient labelling and rapid outlier detection.
Stronger Together interview with Microsoft
In this interview with David Smith, Developer Advocate at Microsoft, our CEO Roger Noble explains how Zegami collaborated with the University of Oxford to analyse a research database of lung X-rays, and develop a machine learning model to identify cases of COVID-19.
Roger Noble and Steve Taylor interviewed by Oxford Investment Consultants
Join OIC Principal and CFO Tania Wilson interview our CEO Roger Noble and CSO Steve Taylor.
Data firm Zegami joins project to find cure for ME
Zegami, the Oxford University data visualisation spin-out, has joined an international team of medical researchers to try and find the
Data Visualisation to Protect Great White Sharks
SEA TECHNOLOGY MAGAZINE Great white sharks enjoy what can only be described as a complex relationship with humankind. On one
Colour By Column in Zegami
Our new Colour by Column feature is a powerful new dimension to visual data exploration in Zegami, enabling richer views, which reveal more of the underlying patterns in your data.
Visualisation engine is making big data analysis a whole lot easier
TechTribe Oxford talks to co-founder and chief technology officer Roger Noble about Zegami’s recent growth, scale-up plans and Twitter activity during the UK general election.
The Visual Data Exploration Concept Explained
Today most businesses are awakening to the age of data overload. Cloud processing facilitates more sources of information and more
Introducing query string navigation
At Zegami we’ve recently introduced the capability to track the state of your exploration in the URL. This is a
