Paul C. Zikopoulos, is the VP of IBM's Competitive and BigData Analytics team. He is an award winning writer and speaker who has been consulted on the topic of BigData by the popular TV show “60 minutes”, advises various universities on their graduate analytics programs, and named to over a dozen “Experts to Follow” lists in social media. You’ll also find Paul taking a very active role around Women in Technology (including a seated board member for Women 2.0, a global network and social platform for aspiring and current female founders of technology ventures). Paul has written 19 books and over 350 articles on data. He doesn’t think NoSQL is something you put on a resume if you don’t have SQL skills and he knows JSON isn’t a person in his department. Ultimately, Paul is trying to figure out the world according to Chloë—his daughter, whom he notes didn’t come with a handbook and is more complex than that topic of BigData, but more fun too. The rest of the bio? It would be BLAH BLAH BLAH, so find him on Twitter @BigData_paulz.
The first of a series of events at Queen’s that explores the 3-Ds of Big Data: define, describe, debate.
Define: Demystifying big data: where did it come from and what is it?
Describe: Delving into big data in various contexts: what are its common features?
Debate: Deciding when big data is the right choice: what are the ethical questions?
The Big Data series is a 175th anniversary event that engages intellectually and practically with a major analytic development and pressing public issue, from multi-disciplinary and cross-campus perspectives.
The events raise the profile of Big Data activities on campus and invite discussion between faculties, schools, departments. The events are accessible to students, faculty, staff and the wider Kingston community.
The series celebrates Queen’s contributions to Big Data innovations and debates nationally and internationally, contributes to the historic and future role of Queen’s in fostering such open dialogue within the university and in the City of Kingston.
We open the black box of Big Data, explore what’s being done with Big Data on campus, and argue about the pros and cons of Big Data in fields from healthcare to marketing to national security and beyond.
The series occurs through the fall term 2016 and winter term 2017.
The Surveillance Studies Centre
c/o David Murakami Wood
Department of Criminology
University of Ottawa
Canada