Recorded Friday November 22, 2013
This week on the HR Happy Hour Show, Steve Boese and Trish McFarlane sat down with Eric Owski, VP of Product Strategy for Bright.com, for an interesting and informative conversation about how data, Big Data really, machine learning, and really sophisticated algorithms are helping organizations better understand the fit and potential for high performance of their candidates, and increasing the chances of making better hires while reducing the time and expense to make screening and hiring decisions.
It is still a challenge for many HR and Recruiting organizations simply to manage the volume of applicants that they are seeing for many positions, and to have the ability to spend the time and resources attempting to ensure they are engaging with (and hiring) the very best people that they can. The volume can often make expediency win out over making informed decisions, and in front-line, customer-facing roles this has the potential to cause pretty significant problems for the organization.
Bright.com offers an approach and a solution that is based on millions of data points, informed by talent and recruiting professionals' input, and validated by the companies that have used the innovative 'Bright Score' to make more consistent and correct decisions about talent and potential.
You can listen to the show on the show page here, on iTunes, (just search in the podcasts section for 'HR HappyHour'), and using the widget player below, (email and RSS subscribers will need to click through).
It was a really informative and forward-looking kind of conversation that sheds some light on what new ideas and technologies promise to deliver to the talent management world now and more and more in the future.
Thanks to Eric and everyone at Bright for taking the time to share his insights!