In this presentation I will describe the way Data Science supports the business of information and news at Dow Jones. Specifically, I will describe how we are introducing innovative and advanced large-scale information mining and analytic approaches not only into Dow Jones’ products but also into our strategy and decision making processes.Our goal is to impact every aspect of Dow Jones: from the way journalism is produced in the newsroom, to the way we create and deliver institutional products, to the way we improve retention and acquisition of subscribers. While the task seems broad and daunting, we have already achieved various successes through the application of machine learning, data mining, advanced analytics and big data approaches.In this presentation I will describe how we have achieved this, including our tools, data, approaches and mechanisms as well as describe what our plans are going forward.
Juan M. Huerta is the Head of Data Science at Dow Jones where he and his team focus on bringing the most innovative data and algorithmic approaches to the analysis of Dow Jones news and information streams, as well as toward the transformation of our business and products. Previous to Dow Jones, Juan’s work has focused on developing algorithms to decode, understand and extract information from location data, financial and banking data, as well as natural language, dialog, and speech signals. Working at premiere R&D organizations like the IBM Research Division, Carnegie Mellon University, and Dragon Systems, as well as leading financial and ad tech companies like Citibank and PlaceIQ, Juan has over 50 technical and scientific publications, 6 granted US Patents, has been recipient of the IBM Research Division Award (2007), two Research Division Technical Awards (2004 and 2003), two IBM Invention Achievement Awards (2003 and 2006), and has participated in multiple DARPA sponsored Research projects and evaluations.