The workforce predictive analytics solutions provider OutMatch has recently announced the use of machine learning to evolve by-the-hour hiring for companies and candidates alike.
OutMatch asserts that its candidate assessment tool is the quickest in the industry currently, able to complete the typical amount of analytics in half the standard allotted time and save time and energy for ventures in their hiring corner.
Additionally, the advent of machine learning increases more beneficial predictability in regards to hiring; by "effectively analyzing post-hire data patterns" and integrating those analytics into the assessment process and other insights, it sharpens and improves the entirety of the hiring quality and commitment.
CEO & President of OutMatch Greg Moran spoke about this new approach:
"We are breaking new ground in the assessment industry by requiring candidates to answer fewer questions but giving companies better results; Using machine learning, we are broadening what we call the OutMatch Impact: arming companies with robust predictive analytics so they can hire and develop the right teams to drive productivity and profitability."
Read more here.
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