Determines Highest Probability of Attracting Talent
San Ramon, CA (September 23, 2014) – eQuest, the global leader in job posting distribution, today announced it has selected technology from BigML, a leader in cloud-based machine learning services, to further strengthen its predictive analytics offering for its Big Data for HR customers.
BigML’s machine learning platform can analyze both structured and unstructured text allowing eQuest to extract more granular, in-depth insights into critical candidate behaviors that are tied to any job advertisement’s success. Through an ongoing process of modeling and statistical analysis, eQuest is able to determine and then advise customers on how to best position their employer branding messages, job titles, and descriptions for the highest probability of attracting talent.
Andrew Shikiar, Vice President of Corporate Development at BigML, said, “BigML is very pleased that eQuest has selected our technology platform to help provide its clients with machine learning-powered insights and recommendations for its job board advertising customers. In today’s business world, it is understood that Talent Acquisition is a key component that enables companies to pursue innovation and achieve success. We’re delighted to work with partners such as eQuest to enable them to harness the power of machine learning and predictive analytics to deliver fully actionable, business-oriented insights.”
David Bernstein, VP of HR Analytics at eQuest, said the predictive analytics service is available immediately.
eQuest provides domestic and international job posting delivery, job board management and employment marketing services. With its global reach, eQuest posts jobs to any posting destination in the world, reaching over 180 countries and territories and thousands of job posting destinations worldwide. eQuest also provides comprehensive candidate source tracking analysis for evaluating job board performance. eQuest is one of the most recognized and admired brands in the human resource industry. www.equest.com