Avigdor Gal
Technion- Israel Institute of Technology, Israel
Title: Big data integration: A meeting point of healthcare and data
Biography
Biography: Avigdor Gal
Abstract
Big data is a new phenomenon that translates into the ability to gather, manage and analyze large volumes of rapidly changing data from multiple sources with varying level of trustfulness. Big data is the main drive of innovation in healthcare technology and as a result the ability to bring together data from multiple sources and make them into a coherent corpus of information is at the very heart of contemporary data challenges. Starting from “Dr. Watson”, IBM’s shining promise to revolutionize healthcare, this talk will outline two main challenges that are tackled in the main data research communities (databases, artificial intelligence, and WWW), namely that of schema and ontology matching and that of entity resolution. The talk will also outline the use of uncertainty management (primarily probability theory) as a main tool to deal with big data integration. The talk is aimed at non-data science students, middle and senior researchers, providing accessibility to one of the hottest topics in research and industry today. With examples taken from the area of healthcare, the audience will be presented with the main challenges researchers face when analyzing big data, and will be provided with a sneak peek into state-of-the-art solutions to the big data integration challenge.