Human-in-the-Loop: Why Let Statistics Have All the Fun

With the rise of Machine Learning and its application to Big Data, the role of the human in data analysis has become blurred.  When it comes to the analysis of conversations however, the words of statistician George E. P. Box ring true: “All models are wrong, but some are useful”.  In this talk, Verint Lead Research Engineer Ian Beaver covers the drawbacks to both human-centric and machine-centric analysis and how the happy medium is found in leveraging the strengths of both.  This presentation provides real-world examples of ways that humans and machines can complement each other to complete complex tasks.  Although computers are taking over many tasks in data analysis, the human abilities of abstract reasoning and logic are still a valuable resource.