{"id":33255,"date":"2016-11-18T14:09:59","date_gmt":"2016-11-18T22:09:59","guid":{"rendered":"https:\/\/www.smartrecruiters.com\/blog\/?p=33255"},"modified":"2017-10-17T09:46:19","modified_gmt":"2017-10-17T16:46:19","slug":"meetup-report-rise-of-the-machines-machine-learning-and-ai-takeover-recruiting","status":"publish","type":"post","link":"https:\/\/www.smartrecruiters.com\/blog\/meetup-report-rise-of-the-machines-machine-learning-and-ai-takeover-recruiting\/","title":{"rendered":"Meetup Report: Rise of the Machines – Machine Learning and AI takeover recruiting"},"content":{"rendered":"

Talent Acquisition teams could be faced with a fantastic future: A recruiter posts a job, publishes it with one click to job boards around the web, gets a couple hundred candidates, an intelligent machine automatically sorts through this stack of candidates, and highlights the top 10 most qualified candidates tuned to the specifications for that job, the company and the team. <\/span><\/p>\n

This dream of matching the right candidates to the job, which seemed so far off 10 years ago, is rapidly becoming reality. With machine learning and AI coming into its own in the last 2 years, AI is everywhere.<\/strong><\/span><\/p>\n

Big players are also jumping into the ring. IBM announced in September that they are launching <\/span>Watson for recruiting<\/span><\/a>. The tool will add an intelligence layer on top of a recruiting ATS or CRM system to rank candidates based on a fit score. Google announced on Tuesday that they are launching a new <\/span>Cloud Jobs API in partnership with resume database giants such as Careerbuilder and Dice<\/span><\/a>. This new machine learning service will apply Google\u2019s algorithms to help job seekers to figure out their fit for a particular job. <\/span><\/p>\n

At a recent <\/span>Hiring Success meetup <\/span><\/a>hosted at SmartRecruiters, a group of panelists included:<\/span><\/p>\n