Democratizing Your Recruiting Data Using Artificial Intelligence Techniques

JEANETTE MAISTER

Jeanette Maister is the former chief operating officer of Global Campus Recruiting at Credit Suisse. Prior to Credit Suisse, Maister spent eight years in a variety of campus recruiting leadership roles at Lehman Brothers. She also held positions at IBM in HR, and Gartner, an IT advisory company, as director of Global Talent Acquisition. Maister is passionate about data and metrics. At both Credit Suisse and Lehman Brothers she revamped the collection, analysis and presentation of global campus recruiting metrics, which were presented yearly to the Executive Committee and Board of Directors. Maister is currently the U.S. managing director at WCN, a best-in-class global talent acquisition solutions firm and also serves as a career advisor and coach to MBA and EMBA students at Columbia Business School's Career Management Center. Maister graduated from Washington University in St. Louis with a BA in psychology and earned her MBA from Columbia Business School.

Credits HRCI - HR (General):1.25, SHRM - PDC:1.25

Tag(s) Talent Acquisition & Retention, CAHR17

Democratizing Your Recruiting Data Using Artificial Intelligence Techniques

Description

Gartner Research predicts big data will be a $232 billion industry and recruiting can play its part by seizing on the opportunity to make the most rigorously evidence-based human capital decisions ever. The average recruiter can spend in excess of two months of their time reviewing initial candidate applications. However, as many recruiters a company has, the time this take totals into a huge amount of months a year spent supporting just the initial review activity. Big Data can radicalize this process. It offers recruiters the opportunity to take evidence-based decision making to an entirely new level by factoring in an unprecedented amount of data from a wide array of sources, some of which might never have been considered previously. Used well, practitioners can test theories, proactively solve problems and conduct more complex predictive analytics related to sourcing and hiring strategies. This future is not about people vs machines, it is about collaborating in harmony using intelligent organizational design. After all, technology was created by people to enhance their lives. Learn how Big Data should be considered more as a leveler helping every recruiter to highlight the diamonds in the rough that no one else knows about.

JEANETTE MAISTER

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