RED BANK, NJ – Pereless Systems applicant tracking system
(ATS) has released a new machine learning technology to their platform. The new
technology will provide a “Intelli-Match” recruit flow to drastically decrease time
to fill as well as screening time for recruiters.
The technology analyzes keywords, education, experience, and
other candidate information to comprise a list of the best matches. With this
option, clients will be shown the most ideal candidates based on historical
hiring data and unique machine learning.
The development team on the project, whose background
include projects with Google and Intel, is comprised of true innovators in the
machine learning space.
“Artificial Intelligence/Machine Learning is one of the most
defining innovations that can be utilized in today’s recruiting.
Ultimately, we will be able to define best matches utilizing this technology
and then aggressively deploy it through the rest of our applications to predict
the best type of hires overtime,” says Pereless Systems CEO, Arthur Pereless.
The model does not take any of the key decision-making away
from the client nor hide any information. One step further, the technology will
analyze employee retention and calculate in what types of hires stay with the
company for the long term. It will be able to learn far more about hiring
practices than human analysis alone can provide.
“Most CEOs and CFOs realize that employee attrition is a
bottom-line killer. AI / Machine learning will allow companies to notice
patterns and mitigate attrition as they become more knowledgeable about hires
that stick,” Pereless continued.
The new technology will be implemented on all job types and
categories within Pereless Systems, and work in conjunction with existing
pre-screening question filters. With this product, every aspect of candidate
research will be enhanced by insights garnered from years of candidate data
across multiple industries and job types.
For existing Pereless clients, a 3-month trial will allow
clients to see the benefits of Intelli-Match in real time. It will then become
an optional feature.
The model will be steps beyond what is possible for new players on the market due to the fact that Pereless Systems has 20 years of data to use for the algorithm. From a technical standpoint, this current and old data will generate machine learning models meant to analyze the expectation that a candidate will be hired.
Please contact an Account Representative for any further questions.