Machine Learning is All Set to Redefine the Process of Recruitment

By Published May 8, 2017
Talent acquisition

The process of talent acquisition is undergoing a substantial transformation over the past decade. Several new technological inventions have forayed into the domain and have been instrumental in transforming the way talent acquisition is carried out these days.

With the introduction of disruptive technologies such as artificial intelligence and machine learning, candidate sourcing has become much easier. While human touch continues to remain an essential component in the process of hiring, technology has revolutionized the process considerably. Whether it is big data analytics, machine learning, artificial intelligence – all have been creating ripples within the recruitment industry.

Talent acquisition

One of the latest weapons in the process of recruitment happens to be machine learning. Machine learning happens to be more efficient regarding unraveling several aspects of the talent acquisition and hiring process.

Machine Learning: Definition

The process of machine learning is a proper representation of Artificial Intelligence (AI) that empowers computers with the capacity to learn without being explicitly programmed. It is primarily accomplished through various patterns of recognition processes.

For example, if you ask a computer to search for a particular candidate as per your requirement. Subsequently, a computer will be able to detect correlations and patterns that a human eye is likely to overlook—thereby leading to a better quality of candidates. Possibilities are infinite beyond this. The power or the capacity to foretell downticks or upticks, in a given market is, of course, new and an ultra-revolutionary new process. Needless to say, machine learning would give recruiters a serious advantage over their competitors.

Implementation and Working

One of the prominent concerns for recruiters right now is, they have extensive networks; however, they haven’t been able to leverage the power of the same markedly. This is where machine learning comes to the rescue.

With the help of machine learning, recruiters can begin recognizing the actual data points of candidates’ contact information, their profile and their work history as well. And be able to match those with several new job opportunities. Apparently, use of machine learning, might not select the right candidate automatically; instead, what it does is to narrow down the field of search and allow recruiters to focus on analyzing the intangibles. Through this method, a much stronger hire can be made, therefore leading to a greater return on investments (ROI) from each job candidate. Going forward, the art of machine learning will be able to take a much broader view of trends in particular industries and even specific job titles.

For example, machine learning can help determine that a particular developer has been working with the organization for more than two years and now there are probably 90% chances that he or she will be looking for a job change in the next few months.

Machine Learning and Its Benefits

It goes without saying, the process of recruitment involves a lot of hidden costs that the company has to bear. However, the implementation of machine learning can help a long way in cost reductions in the overall process of talent acquisition and hiring. While, implementing the art of machine learning initially can be a little cumbersome, but with time it will help in reducing the costs of hiring to a considerable extent.

As you begin to make more investments in your recruitment process, develop and help retain your workplace employees, it is important that you end up implementing the art of machine learning. Needless to say, proper implementation of analytics will go a long way in benefiting the organization.

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