An increasingly popular data-gathering policy in African countries has exposed weaknesses in regulatory frameworks across the continent.
Maurice Coyle, chief data scientist at IBM and Mastercard collaboration Trūata, unpacks independent data stewardship, managing data set risks and the necessary trade-off between data set utility and protecting privacy.
Behind the wall of cliché and spin associated with data-driven transformation lie two fundamental truths. One concerns the eventual aim, which is to make better decisions. The other is about the process – which is not about technology or regulations, but change management.
Contact-tracing apps have failed to live up to their initial hype during the covid-19 pandemic, but technologists and policymakers are still grappling with the issues surrounding the apps with the hope that they can be effective in fighting future disease outbreaks.
As countries around the world rush to control the spread of the covid-19 virus, privacy regulators are keen to have their say on data sharing. But some watchdogs are finding their guidance largely ignored – raising questions about the true influence of data protection authorities.
As organisations all around the world slash their budgets in response to the economic downturn caused by the covid-19 pandemic, lawyers and advisers have been forced to grapple with an existential question: how essential is data?