HR Examiner
NOVEMBER 17, 2020
We’re finishing up the series today in part four with the data from the 90-day study where we racked up 450+ hours watching demos, asking questions, and working to understand the business model and technical approach of 110 companies. Here’s where we are in the series: Assessing Values in Online Technology – Part 1.
HRExecutive
MARCH 3, 2021
Because when AI is applied to the lives and livelihoods of people at work, it is profoundly different than when used for consumer purposes. AI used by employers to recruit, assess, manage, coach, develop, predict and “improve” their employees is fraught. The underlying models are extremely simplistic and error-prone.
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Cognisess
NOVEMBER 14, 2018
And therefore, any move an employer makes to adopt machine learning and predictive analytics may be perceived as accelerating this inevitable development. This year PwC found that 74% of workers worldwide are ready to learn new skills to stay employable, this suggests that the workforce can develop alongside this emerging technology.
TalenToday
JANUARY 22, 2021
A CareerBuilder survey found that nearly three in four employers have hired the wrong person for a position. Bad hires not only have a negative financial impact, but can reduce productivity and be a blow to company morale. Even if your initial hire is spot-on, keeping talented employees on board can be extremely challenging.
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