From AI to blockchain and consent, 2017 was a busy year for the data and analytics industry. With over 500 new pieces of editorial added to dataiq.co.uk in the last 12 months, you might just have missed some of our first-hand insights. So here is the editor’s pick of the 10 best to catch you up.
A deep dive study of GDPR commissioned by the Department for Culture, Media and Sport has showed that consumers place a significant value on their data protection rights. But it also finds businesses have yet to look beyond compliance to how the Regulation might give them a competitive advantage. DataIQ put six of the commonest responses to GDPR to the report's co-author, Moritz Godel.
More women than ever are entering the data industry, but diversity is still very much a work in progress, as delegates at the third annual Women in Data conference discovered. Toni Sekinah gives her take on the event.
Artificial intelligence will have a big impact on employment. But will its effect be positive through the creation of new classes of work, as well as allowing us all more leisure? Our could the outcome be more negative? David Reed reports from a discussion on the impact of AI on society.
If AI does not recruit more women, could it mean the end of humanity? That's not as fanciful as it sounds when you consider that gender bias in drug trials already harms women. David Reed reports from the Why Women in AI event on how to make technology more female-friendly.
News that Facebook claims to reach more UK adults than the Census thinks are in the country has led many advertisers to question the audiences they are buying. Charlie McKelvey finds out whose number is best.
Only 13% of data scientists say their models are always deployed, according to Rexel Analytics Data Science Survey 2017. Toni Sekinah speaks to three veteran data practitioners at large UK organisations to find out why and what they do to ensure a better hit rate.
With regulators looking at automated decision making and the possibility of requiring algorithms to be made transparent, what are the real impacts on individuals when the machines decide what they can and can not have? Charlie McKelvey finds out from industry experts about the effects and the consequences of any change in the law.
Data scientists and data engineers are essential for gaining insights from big data. But what exactly do these two roles involve and how much overlap, if any, is there? Fundamentally, how can and do they work together and what does the future hold for further merging or separating of these two massively important data jobs? Toni Sekinah finds out.
Is the data science industry asking too much of its new recruits? Mike Bugembe, chief analytics officer at social giving platform Just Giving, thinks it is. He tells DataIQ's Toni Sekinah the different boots the perfect data scientist would need to fill.
This year's PIE 2017 was more about the commercial opportunities post-GDPR than about individuals managing their own data. That's not surprising given how indifferent consumers seem to be about the concept of PIMS, finds David Reed