Zegami, the Oxford University data visualisation spin-out, has joined an international team of medical researchers to try and find the
SEA TECHNOLOGY MAGAZINE Great white sharks enjoy what can only be described as a complex relationship with humankind. On one
FINANCIAL TIMES Zegami, a data visualisation spinout from Oxford University, has developed a machine learning tool that aims to diagnose
13th May, 11:00-11:40 BST Zegami has built a tool that could help speed up diagnosis of COVID-19, using a combination
Zegami has developed a new machine learning model using x-rays of Covid-19 infected lungs, artificial intelligence techniques and data visualisation tools that could help medical professionals identify corona virus cases more effectively
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.
Zegami has been appointed by Oxford University researchers at the Oxford Cardiovascular Clinical Research Facility to accelerate research into cardiovascular disease.
Zegami has been collaborating with MRC Weatherall Institute for Molecular Medicines to help clean its data and assist with the training of its machine learning models, specifically around developing a better understanding of which proteins in genes bind, and where they do this in the genome.
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.
Zegami has been engaged by world famous Monterey Bay Aquarium, to strengthen its project to monitor and protect the Great White Shark Population in the Northeastern Pacific.
How can big data, analytics, and cutting-edge tech tools help HR professionals make better, value-adding decisions? HR leaders of all types are invited to “Making Better HR Decisions with Analytics” webinar hosted by LiveTiles and Zegami.
There are many reasons for HR organizations to pursue analytics. But the primary reason should be strategic insights: findings that can be gleaned from seeing the trends in workforce data, which in turn translate to better organizational decision-making, informed by better data. These insights create real value, and while that value is difficult to quantify, it is impossible to ignore. The right workforce insight could lead to higher engagement, better wellness, more equitable diversity and inclusion efforts, or lower attrition, in addition to many other benefits.