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3 Ways AI will Transform Recruitment

#artificialintelligence

Three core components of the recruitment cycle that can be completely transformed by AI, and how employers can harness this change wave – we unravel the possibilities and the emerging trends. Today, Artificial Intelligence (AI) is a buzz-word across industries, sectors, and business verticals across the board. Human Resource is also witnessing the all-encompassing impact of this game-changing technology. In this context, recruiting is particularly looked at as space which stands to be transformed. AI for recruiting is now considered as the next generation in smarter, efficient, and hassle-free hiring cycles.


Snap.hr is banking on AI to transform recruitment and has already convinced Tesco to get on board

#artificialintelligence

A new recruitment platform utilising machine learning and artificial intelligence (AI) to better match candidates with tech roles has launched today and has already signed up some big-name companies onto its service. London's Snap.hr joins a long list of companies waving the AI magic wand and claiming to bring innovation to an outdated industry, but with the likes of TransferWise, Skyscanner and Tesco already utilising the platform for their tech recruitment it looks like there may be some substance to their claims. Taking aim at the'fragmented and outdated' recruitment market, the startup has already signed up 1,600 companies on its platform who have access to a pool of 12,000 tech specialists which Snap.hr has pre-screened beforehand. According to the tech firm, its finely honed recommendation and matching engine, which constantly learns from candidates and jobseekers on its service, has already halved the average time it takes to get hired down to 12 days from the industry standard of around 24. It also claims that, since its beta launch, jobseekers have received on average five interview requests within the first week and that over 95% of those who have been placed by Snap.hr are still at the company after six months, which it believes attests to the accuracy of its matching service.