Recruiting technology trends 2019

Technology has seen considerable changes in optimizing tasks like recruiting, training, and employee management. From hiring chatbots, video interviews, to virtual reality training, here we are discussing few HR technology trends to keep you on the track of 2019:

  1. Natural Language Processing (NLP):

Recruiters or HR professionals are struggling to fulfill the recruiting needs of businesses. Finding the best candidates consumes time and money. Organizations need a streamlined approach for hiring the most qualified and relevant candidates. NLP helps in achieving recruiting goals of businesses.

Recruiting chatbots:

Recruiting chatbots to use NLP (natural language processing) which allows software to understand the human language whether it is spoken or written. They use NLP to request resumes, contact information, ask screen questions to candidates, and schedule interviews quickly in just a few clicks.

Candidates have to answer fundamental interview question to get selected for the initial round of interview even through their mobile device.

Resume/CV parser:

CV parsing API uses NLP which is an AI technique to screen resumes intelligently. It extracts information from resumes quickly and efficiently to store into ATS/CRM. It identifies the best match on keyword formats and semantic matching techniques.

  1. Predictive and Employee analytics:

In today’s world, hiring is not just depending on the first impression and what’s on the resume of candidates. Moreover, it uses advanced analytics that includes behavior, trends, new and historical data to forecast activities.

Predictive analytics:

Predictive analytics is considered a game-changer in the recruitment industry as it uses modern smart algorithms and rich data sets to identify applicants who are more likely to be the best fit for the organization. Artificial Intelligence helps businesses in determining whether applicants are qualified for a position based on skills, past employment, education, and even personality traits.

Employee Analytics:

Employee analytics allows companies to analyze their development data and determine where they need to improve in the employee lifecycle. AI can be used to provide an alert to managers about unsatisfied employees who are thinking of leaving the organization so there can be proactive efforts to retain them. Technology helps in increasing retention which can save the stress of HR managers and cost of new recruitment.

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