An artificial intelligence programme could be used to more quickly predict the outcome of coronavirus patients by studying X-rays of their chest. Developers at the Oxford-based data-visualisation company, Zegami, have created a machine learning model that can diagnose the virus from the images. However, the team say that in order to get better and more detailed results their AI needs to be trained on a wider range of X-ray images from infected patients. The team believe it could have an artificial intelligence system in place within a matter of weeks to study the disease if it gets enough X-ray images. Zegami CEO, Roger Noble, has written an open letter to the Oxford Health NHS Foundation Trust asking for more images to train the AI model.

The global data visualisation market is growing by up to $900 million a year, and is expected to be worth over $9 billion by 2026, according to a statement from UK-based data visualisation provider Zegami. The statement outlines the results of analysing 360 Reports' research into the market. The statement claims this growth is fuelled by the huge proliferation in the amount of data being produced, the increased use of data visualisation in data analytics and business intelligence tools, and organisations looking to find ways to reduce their increased expenditure on data warehousing and storage costs. As well as the traditional use-case of providing insights that can aid in financial and business decision making, Data visualisation tools also have a role to play in compliance and meeting regulatory requirements. Zegami's statement claims that it will also be vital in the development of artificial intelligence, where machines and computers will increasingly make more decisions without human input.

Think your plans to resign from your job are a well-kept secret? Think again, as artificial intelligence has been developed to figure out and tell bosses when employees are likely to quit, the Oxford Mail reports. Created by Oxford University spin-out Zegami, the tech takes into account factors like age, pay, benefits and work location to spot disgruntled employees. Research by the firm suggests losing a valued employee who could have been retained costs companies more than £105,000. This is based on the average salary for someone in full-time work, hiring costs and productivity losses over several months while a replacement hire becomes as effective as the employee they replace.

Zegami is a visual data exploration tool for viewing large collections of images and other visual data. By presenting vast quantities of images within a single field of view, Zegami allows users to quickly see correlations, outliers and relationships by leveraging the innate pattern recognition capabilities of the human brain. This combined with image processing and advanced machine learning techniques like Deep Learning presents a formidable combination of the best aspects of man and machine. In addition, by including associated metadata (structured and unstructured) users can search, sort and filter the images to find exactly what is required. In the above example researchers at the Weatherall Institute of Molecular Medicine, University of Oxford were able to quickly observe the effects of various concentrations of a particular drug against a control group.