Everyone is Talking About Machine Learning and Predictive Analytics. Summer Husband Explains Why
Several days ago I posted a number of pictures on Facebook of many of the amazing women who took the stage at SourceCon in Anaheim, California. One of those amazing women, who delivered the opening keynote, joins me for a special Big Picture Channel podcast on TotalPicture Radio.
In her role as Senior Director, Data Science for Randstad Sourceright, Summer Husband is responsible for helping to bring recruiting data to life. Through deep analysis and visualization, applying predictive analytics and machine learning, Summer is able to support clients’ preemptive decision making and deliver continuous and measurable improvement across all aspects of talent acquisition. This ability places her organization at a clear competitive advantage.
Machine learning, predictive analytics, AI, Big Data is on every conference agenda this year.
Here’s a real world example of why. A recent article in Business Insider showcases Amazon’s new brick-and-mortar bookstore in Chicago, with the headline Inside Amazon’s new Chicago store, where the books for sale have an average rating of 4.5 stars online. That’s right, all of the books on display have at least a 4.5 customer rating. But it goes much, much deeper. Amazon knows what Chicagoan’s like. Think about how Amazon is able to use its massive amount of data to make this one bookstore a reflection of the tastes, interests, and aspirations of the community it serves.
Before working in the recruiting space, Summer worked as an analyst with Metron, a scientific consulting firm tasked with solving complex national defense problems. During her tenure with Metron, she worked on submarine tracking, missile defense and airborne laser mine detection, for which she received a certificate of recognition from the U.S. Navy for her contributions. Prior to her data science work, Summer received a PhD in applied math from Rice University.
Self-driving cars, Amazon’s personalized recommendations, survival statistics in medicine – these are all examples of the power of machine learning. The concept is not only making news and changing the way we live, it’s having a real and growing impact on all aspects of business – and recruiting is no exception. What exactly is machine learning? How does it work? How can we put it to work in the recruiting space?
In our interview, Summer will explain the concepts and walk through examples of machine learning at work. Whether you are a strategic decision maker or work on the front lines of recruiting, this is a great chance to get a clear view into an area of innovation that will change sourcing, talent acquisition, recruiting and talent management in the future.