March 21, 2018
There are at least some reasons to be optimistic about the UK’s tech sector post Brexit
Making detailed predictions about the economic consequences of Brexit has proved a mug’s game many time over the past couple of years. The most accurate summation of what is happening might be ‘mixed’. Most recently, a report from the CBI has highlighted the resilience of many sectors while bemoaning a lack of skills in the economy. Meanwhile former Commercial Secretary to the Treasury Lord O’Neill also recently conceded that the UK economy had been more robust than he had expected following the Brexit vote, which he attributed primarily to the thriving world economy. An argument almost immediately dismissed by the economist Ruth Lea writing for the LSE, who put forward a more nuanced and mixed explanation. The same picture of tempered resilience is also evident in specific sectors, and especially those that were seen as the most likely to feel the consequences of the Brexit vote, including London’s crucial tech sector.








The challenge to achieve gender equality at work isn’t made any easier by the attitudes of some employers. Although men increasingly want to be more present at home, currently fathers are 
Artificial intelligence systems need to be accountable for human bias at AI becomes more prevalent in recruitment and selection, attendees at the Employers Network for Equality & Inclusion’s annual conference have been warned. Hosted by NatWest, the conference, Diversity & Inclusion: The Changing Landscape heard from experts in ethics, psychology and computing. They explained that AIs learnt from existing data, and highlighted how information such as performance review scores and employee grading was being fed in to machines after being subjected to human unconscious bias. Dr David Snelling, the programme director for artificial intelligence at technology giant Fujitsu, illustrated how artificial intelligence is taught through human feedback. Describing how huge data sets were fed into the program, David explained that humans corrected the AI when it used that data to come to an incorrect conclusion, using this feedback to teach the AI to work correctly. However, as this feedback is subject to human error and bias, this can become embedded in the machine.




Work is no longer a place but a set of activities which lead to a set of outcomes that could be delivered anywhere. Or as John Blackwell, Quora Consulting’s Managing Director succinctly described it at the first of the 2018 Quora Smartworking Summit’s held last week, organisations need to create a ‘smart everywhere’ environment. New digital platforms make far it easier for people to work in exactly the way they want. Research by Quora has revealed that there are 5 million people currently working in the UK gig economy or around 15.6 percent of the total workforce. More people are working post retirement age and want to work in a way that they can control, while there are increasing numbers who simply want more autonomy in their lives in the way that self-employment can offer. 
Google has been named the Ideal Employer among tech professionals in the 2018 Dice UK Ideal Employer Report. While market leaders including Microsoft, Apple, Amazon, Facebook and IBM are placed highly, the report suggests that smaller tech brands can also attract the top talent through benefits including yoga, in-house cafeterias and more. For many technology professionals, Google is the gold standard employer, with a perfect mix of competitive salary, perks, benefits and interesting work, something smaller companies can learn from. The survey of 464 tech professionals found that simple office upgrades including yoga, colourful furniture and other positive innovative cultural perks can help smaller companies attract the best talent, even if smaller in size. Good work/life balances, open communications and manageable working hours also ranked highly. 








March 26, 2018
A growing number of employers are driving demand for independent professionals
by Adam Gates • Comment, Workplace
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