Discover and read the best of Twitter Threads about #datadriventechnology
Most recents (3)
1/14 We commissioned @DeltapollUK to conduct a longitudinal survey between June-December 2020, with a representative sample of over 12,000 people, to better understand #publicattitudes towards the use of #datadriventechnology during COVID-19. See below for key findings 👇
2/14 Unsurprisingly, people reported that their use of technology has increased since the start of COVID-19. This finding was consistent across demographics and the 6-month period. Individuals indicated that they were planning on using this technology in the long-term. 
3/14 Despite the increase in the use of technologies, the proportion of the UK public who had taken proactive measures to manage their data or online experience was fairly low, with 26% of the population saying they had done none of the protective measures listed.
1/4 Some positive news to kick off the week - we're hiring @CDEIUK! There are roles available across both our #policy and #strategy teams. If you're ambitious, articulate and curious about #AI and #datadriventechnology, please check out the roles in this thread and apply!
2/4 Are you interested in the risks and opportunities posed by #AI and #datadriventechnology? Do you have strong verbal and written communication skills? If so, one of our Policy Advisor roles might be right for you! Find out more here: tinyurl.com/y43ffzje
3/4 We’re looking for 3x Senior Policy Advisors to join teams across @CDEIUK. Are you capable of analysing #complex issues to reach clear and balanced conclusions? Do you have excellent #projectmanagement skills? Find out how to apply here: tinyurl.com/y554k3ul
1/7 #AI and #datadriventechnology has the potential to address society’s greatest challenges. It presents concrete opportunities for: operating an efficient green energy grid; identifying and tracking public health risks at speed; and tackling misinformation #AIBarometer
2/7 Some opportunities associated with AI and data are, however, easier to realise than others. ‘Easier to achieve’ innovations tend to involve the use of AI and data to free up time for professional judgement, improve backoffice efficiency and enhance customer service.
3/7 ‘Harder to achieve’ innovations, in contrast, involve the use of AI and data in high stakes domains that often require difficult trade-offs (eg police forces seeking to use facial recognition must balance the desire for greater security with the need to protect privacy).
