SOURCE: SHAKER

Shaker

November 29, 2016 07:00 ET

Machine Learning and Big Data Analytics for Hiring: Shaker Webinar Explores the Perils and Pitfalls

CLEVELAND, OH--(Marketwired - Nov 29, 2016) -

WHO: 
Eric Sydell, vice president of Research and Innovation at Shaker, the market leader in engaging, realistic job previews and custom simulations for pre-employment testing, and Mark Girouard, employment attorney and shareholder at Nilan Johnson Lewis

WHAT: 
Will present the complimentary webinar, "Machine Leaning Pitfalls and the Perils of Big Data Hiring Analytics."

WHEN: 
Tuesday, December 13, 2016 at 1:00 p.m. EST (12:00 p.m. CST/11:00 a.m. MST/10:00 a.m. PST)

WHERE: 
To register, please visit: https://shakerevent.webex.com/shakerevent/onstage/g.php?MTID=ef3c703a94c31421269b2c5f2b19b727d.

DETAILS:
Increasingly, today's employers rely on big data solutions to source, recruit and hire job candidates. While big data has the potential to reduce recruiting costs and streamline hiring processes, these tools also present a host of legal and other business risks. Risks that include a seemingly neutral algorithm that actually creates or perpetuates discrimination based on protected characteristics. Before implementing these tools, employers need to learn how big data impacts the candidate selection process and about any hidden risks that may exist.

During this webinar, Eric Sydell, vice president of Research and Innovation at Shaker, will join Mark Girouard, employment attorney and shareholder at Nilan Johnson Lewis, to explore how big data is changing the pre-employment selection landscape. Through their discussion, Sydell and Girouard will examine the risks of big data selection tools and explain how traditional assessment validation methods can be used to enhance the legal defensibility of these new tools. Sydell and Girouard will also discuss job analysis and related techniques that can improve the validity and reduce the risks of big data analytics. Session attendees will learn what to ask big data vendors to ensure risks are being addressed and gain insights into future hiring trends.

HR professionals, recruiters, hiring managers and business leaders interested in understanding more about the challenges and opportunities of using big data analytics for hiring are encouraged to attend this webinar. To register, visit: https://shakerevent.webex.com/shakerevent/onstage/g.php?MTID=ef3c703a94c31421269b2c5f2b19b727d.

ABOUT NILAN JOHNSON LEWIS
Founded in 1996, Nilan Johnson Lewis (www.nilanjohnson.com) has built a practice grounded in excellence and value. Through its Total Partnership approach to client relationships, Nilan Johnson Lewis delivers exceptional results for its clients' businesses. The firm focuses on five areas of law: labor and employment, product liability/mass tort litigation, health care, commercial litigation, and business transactions/real estate.

ABOUT SHAKER
Shaker's Virtual Job Tryout® (VJT) technology enables recruiters to combine the best of predictive analytics and human judgment. Recruiters identify best-fit candidates with more precision, increase new-hire retention and improve quality of hire. VJT technology delivers pre-employment assessments as day-in-the-life experiences that educate and engage while obtaining a work sample that predicts job fit and competencies critical for success. VJT technology is available in Standard and Enterprise (custom) configurations. It has been deployed in most industries for entry-level to mid-management positions. More information can be found at shakercg.com.