Abstract. Data volumes are sky-rocketing, and new sources and types of information are proliferating; we can now track and obtain data faster than ever before. But data is only of value if you can extract insight from it – insights that let you solve your challenges, improve your processes, attract new clients, and be more nimble in your business. . There is a real opportunity to harness this data and gain insight to improve our world – but to do so, we must do more than capture information. We must correlate and align information across sources, extract meaning from it, and leverage that meaning to create value. This talk will describe some of the challenges of capturing, integrating, and analyzing information and some of the progress that has been made in terms of runtimes and tools to support these tasks, as well as some ongoing research in this space.
Bio
Laura Haas is an IBM Fellow, and Director of IBM Research’s new Institute for Massive Data, Analytics and Modeling; she also serves as a “catalyst” for ambitious research across IBM’s worldwide research labs. She was the director of computer science at IBM Almaden Research Center from 2005-2011. She joined the development team in 2001 as manager of DB2 UDB Query Compiler development. In IBM Research, she worked on and managed a number of exploratory projects in distributed database systems. Dr. Haas is an active member of the database community. Dr. Haas has received several IBM awards for Outstanding Technical Achievement and Outstanding Innovation, and an IBM Corporate Award for her work on federated database technology. She is a member of the National Academy of Engineering and the IBM Academy of Technology, an ACM Fellow, and Vice Chair of the board of the Computing Research Association. Dr. Haas received her PhD from the University of Texas at Austin, and her bachelor degree from Harvard University.