AI and Machine Learning isn’t the future of recruitment: It’s the now

AI-powered solutions give recruiters a significant advantage over traditional methods of matching candidates and jobs.

AI, Machine Learning and Semantic Search have long been touted as the future of recruitment. But the truth is this technology has been available for many years thanks to the R&D efforts of companies like Textkernel. As the ‘state-of-the-art’ has progressed, recruiting companies are now taking advantage of the competitive edge this software offers.

AI takes care of the laborious, mundane side of recruitment and enhances the capabilities of people

Let’s take a step back and look at some of the issues faced by recruiters to see why AI, Machine Learning and Semantic Search are becoming increasingly popular. When broken down, the goal of recruitment is to bring people and jobs together, placing the best possible candidate in the quickest possible time. This is good for business, good for candidates and, of course, good for recruiters.

Being an effective recruiter often requires industry-specific knowledge, such as related job titles and related skills, built up over years on the job. Due to this, junior recruiters face a steep learning curve before they can start placing candidates as quickly as possible. Meanwhile, senior recruiters are spending much of their day on repetitive processes that should be automated, which takes time and focus away from business development.

Textkernel’s AI-powered recruitment technology solves these issues by providing automated data capturing, searching and matching of candidate profiles. The technology can be seen as the most experienced recruiter assistant, enabling even junior recruiters to find candidates based on what they mean instead of what they type. For instance, rather than needing to know every related technical skill to find a ‘Java developer’, the software will identify the perfect candidate based on their skill set.

Will AI replace recruiters?

No, but it will make them happier and more productive. Bringing people and jobs together still requires a human touch. Dealing with candidates and ensuring the right cultural fit is why recruiters are still the core aspect of placing candidates to fill vacancies.

Building on recruiters as the core part of matching people and jobs, companies can use AI-powered tools to automate the mundane and be more productive. By spending less time sifting through data and more time dealing with people, recruiters can place more candidates faster, win new assignments, develop the business and experience greater satisfaction in their workplace. Junior recruiters are able to make an immediate impact without the steep learning curve associated with specialised recruiting industries. This is of great importance given the high turnover in, for instance, recruitment agencies. Senior recruiters will spend more time using their knowledge to attract more business and – hopefully – get to a stage where they’re placing every candidate they’ve ever sourced.

Looking to future trends

While AI is already making an impact, huge strides are being made to develop tools even further. Deep Learning, the technology behind self-driving cars and virtual assistants such as Amazon’s Alexa and Apple’s Siri, have made their way to recruitment. Textkernel now applies Deep Learning to improve data accuracy and build rich content that empowers the matching and searching of candidates and jobs. In the near future, AI will become much faster and more accurate than humans when handling the repetitive tasks of recruitment.

To learn more about the advantages of AI-powered software for recruitment, visit Textkernel’s site and book your demo.

By Gerard Mulder, CCO at Textkernel


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