How AI, machine learning will impact tech recruiting 7wData

Artificial intelligence and machine learning already make a huge impact on the way we watch movies and television, shop, and travel, but how will these new technology advancements affect you as a sourcing or recruiting professional? It all comes down to being able to quickly analyze huge amounts of data and make decisions and predictions based on that, says Summer Husband, senior director, data science, at Randstad Sourceright, in a presentation at SourceCon, in Anaheim, Calif, last week. In a healthcare setting, Husband says, algorithms can be used to perform survival analysis, a machine learning technique that analyzes time to an event, such as a patient's expected time before recurrence of a disease or a death. This process was developed for medical situations and it's a good analogy to sourcing and recruiting except instead of survival analysis, job posting data is examined. Ultimately, the goal is to answer the question, "what's the time to fill?" "So, we take data on jobs we've filled for clients in the past, how long those took, how many candidates, open roles, information about the company as well as job market data from sources like the BLS and CareerBuilder, for instance, to find out how all of those things impact the'survival rate' of our open jobs.