As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand. Predictive analytics and artificial intelligence capabilities provide a way to extract insights from that data to help you improve the customer experience and optimize customer loyalty. Today, businesses can collect hundreds of variables about their customers. Toward that end, companies are employing the power of predictive analytics and artificial intelligence (e.g., machine learning) to extract insights from data. There are generally three types of analytics: descriptive, predictive and prescriptive.

How do you know if you've made the right decision for a hire? Often, employers go off gut instinct and make a decision retrospectively, but it turns out AI might be able to help out in human resource management through shedding light on the best hiring decisions. In this episode, Pasha Roberts, Chief Scientist at Talent Analytics, Corp. tells us about how his company is working on helping companies make better decisions before they hire by applying machine learning and artificial intelligence to various data points on a given applicant, including information from aptitude tests that may help predict not only performance but retention.