Special Reports / September 2018

Artificial Intelligence Helps Employers Find the Best Talent

With the increasing number of young Indonesians entering the job market, companies are often overwhelmed by the sheer number of applicants for certain vacancies, especially with talent requirements continuing to become more specific. However, recruitment platform Kalibrr has made it its mission to match employees with talent. Dexter Ligot-Gordon, Kalibrr co-founder and chief operating officer, recently spoke with GlobeAsia's Gilang Al Farisi about the company and Indonesia's changing job market.

What makes Kalibrr different from other recruitment services, and what inspired you to start the company?

The company is based on me and my partner's respective experiences in our previous jobs. I worked for the government for some time. In my previous job in the government, I used to build systems to prepare and match people with growing industries. My co-founder, Paul Rivera, worked in the tech industry, which was a fast-growing field at the time. He came across a problem while working in the industry where there was an excess of jobs but only a few people with the skills and talent to work in this field. Of course, because of my previous job, I already had some experience in matching corporations with talent, and that has become Kalibrr's core purpose and what has led to the founding of this company. So, we have gone from there to become a product-driven company and problem solvers. What makes us unique as a company and a recruitment platform, is that we address the core problem related to people seeking employment.

What do you think is the biggest problem with the way recruitment is currently done?

The primary problem with recruitment is that the whole process of looking for a job is tedious. And that is what we at Kalibrr try to resolve; we try to manage the process to make it more engaging for jobseekers, while at the same time equipping potential employers with the right tools to seek out the best talent for the position.

So how does Kalibrr manage high volumes of applications and make the process more engaging?

We understand that large corporations looking for talent deal with high volumes of applicants looking to fill those positions. Such companies find it difficult to build up a connection with applicants and filter out the best talent on a personal basis. Especially now that we consume information rapidly in the form of digital media, it has changed the nature of job hunting. We at Kalibrr aim to revolutionize the whole process, giving more power to individuals seeking employment and evaluating their skills on a personal basis. We do that with artificial intelligence, so all talent is thoroughly evaluated to give companies enough time to process the individuals in a more personalized manner.

What solutions or products can Kalibrr provide to ensure this sort of experience?

We currently offer a variety of products and solutions, including Employer Branding and Applicant Tracking. The products we provide are based on our study of the process of hiring and evaluating individuals for jobs. We find that individuals who are given closure at the end of their job-hunting process, whether they are hired or not, feel a lot more rewarded and valued for their effort. But most companies are not capable of doing something this simple, because they are bombarded with applications. We have built our technology around this to help both parties be more engaged with one another by providing a system that simplifies the recruitment process. Applicant Tracking is the system we have built to support the solutions we offer. It is an integrated system designed to evaluate prospective individuals and give them the results of their endeavors. Employer Branding is designed to attract talent to work for companies that have collaborated with us. We work with businesses to build job descriptions that are attractive to the current generation of jobseekers.

What does AI look for in individuals to ensure that they are a perfect match for companies?

We look at the requirements set by the companies; we look for certain skill sets and we use AI to evaluate the parameters to match them with the most suitable talent. At the moment, when the job description is posted, our AI system scans the requirements and matches them with our talent database. We currently process about a million talents in our database, and our system can look at their skill sets and outline several candidates that would be a match for a specific company.

Does Kalibrr provide prospective candidates with some sort of training to give them an edge over the competition?

In the beginning, we held workshops to help jobhunters evaluate their skills and compare them with the requirements of the jobs that were on offer. We gave jobseekers a sort of content to navigate through the process of interviews and even the whole process of looking for a job. But we have recently started to focus more on developing the technology to provide the perfect match between talent and company, and instead of training the talent ourselves, we have partnered with universities to prepare students. We also work with companies to streamline the talent-acquisition process.