Video calling, collaboration applications usage rise steeply in UK homes
Business data science teams need to be multi-disciplined, says Trainline
Covid-19 apps pose threat to digital privacy on a global scale
Is Zoom safe and should security teams ban it?
Magecart attacks on online retailers jump 20%
The role of AI in the ‘war’ against epidemics and pandemics
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Video calling, collaboration applications usage rise steeply in UK homes
It seems remarkable that it’s only just less than two weeks ago when the UK government decreed that those who could work from home should do so, but already in that time, new patterns of work are emerging, and telcos are seen as critical infrastructure for society and the economy research from EY.
The study of 2,000 UK consumers, seven impacts of Covid-19 on the UK digital household, found that network quality was top of mind among consumers, with as many as two-fifths of households indicating they believe broadband and mobile network providers should focus resources on ensuring reliable
Covid-19 apps pose threat to digital privacy on a global scale
The majority of state-backed Covid-19 coronavirus apps are “collecting superfluous amounts of data”, according to an investigation by digital security company Surfshark.
In reaction to the digital pandemic tracking measures that at least 19 countries have put in place, Surfshark analysed 10 apps that are live now in 10 countries around the world.
It found that seven out of 10 apps monitor GPS location, while 60% are unclear about what they track, do not provide terms and conditions upfront, or use intrusive methods, such as surveillance camera footage, to keep tabs on users.
At least two of the apps clearly
Business data science teams need to be multi-disciplined, says Trainline
Building well-balanced data science teams in conjunction with a relentless focus on creating data-based products for customers are the critical elements of any successful data science programme.
Sam Taylor, head of data science at Trainline, gives this advice to peers, while reflecting on the work of the team they have built over the past four years. And he puts a big emphasis on having a core data science team with people from different academic disciplines.
“Our main goal has been to use Trainline’s data to build great data products for our customers,” he says. “We spend a lot of
