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Program Details

Big Data Forum
Wednesday September 24, 2014
McMaster Innovation Park


8:00 a.m. Buffet Breakfast

8:30 a.m. – 9:15 a.m. Keynote by Tom Jenkins, Chairman, Open Text, followed by Q&A                                  

Session 1  9:20 a.m. – 10:20 a.m
Using Data for Innovation

In this session we want to reflect on how data are used to make better decisions, to develop better products, and to inform the public.

Moderator: Guillaume Paré, Canada Research Chair in Genetic and Molecular Epidemiology 


  • Paul Zikopoulos, Vice-President, Information Management, Technical Professionals, Competitive Database and Big Data Technologies, IBM
  •  Nigel Fonseca, CEO, SWI   
  • Ben Zifkin,  Founder & CEO, Hubba  

 Q & A led by Moderator

10:20 a.m. - 10:30 a.m. Coffee Break

Session 2  10:35 a.m. - 11:35 a.m.
Harvesting and Linking Data
(Real time, Structured and Unstructured Data)

In this session we will reflect on the questions about how data are being collected and transformed. What transformations have happened over the last decade and what is needed over the next decade to promote better practices around the harvesting and linking of data?

Moderator: Bob McNutt, Executive Director, Canadian Research Data Centre Network


Q & A Led by the Moderator

Session 3  11:40 a.m. - 12:40 p.m.
Privacy and Security Issues   

In this session we will discuss issues related to personal – as well as company/agency/industry – privacy in the collection of information.  In a world where there is much talk about “open data” what is the role for proprietary, confidential, and/or sensitive data? 

Moderator: Fei Chiang, Assistant Professor, Computing & Software


  • Brian Detlor, Associate Professor, Information Systems; Chair, Research Ethics Board, McMaster University           
  • Mark Kovarski, Consulting Manager, Cisco
  • Jerry Iwanski, Senior Vice President, Technology Integration & Business Development,
    Route 1

    Q&A: led by moderator

                                ~LUNCH 12:40 p.m. – 1:30 p.m.~


Session 4  1:35 p.m. – 2:35 p.m.
Building the Talent: From Classroom to Innovation

In this session we will look at what training and talent is needed so that industry, government, and other organizations can best utilize and optimize their data.

Moderator:  Paul McNicholas, Professor, Mathematics & Statistics


Q&A: led by moderator

Session 5  2:45 p.m. – 4:00 p.m.    
Infrastructure Needs: Resource Constraints and Maximizing the Resources to Achieve the Goals

In this session we will look at the resource constraints that are preventing us from making the most or best use of data in our practices; what technologies are not-existent or in their infancy that should be developed over the next decade; and what is preventing the development of these technologies in Canada.

Moderator: Victor Kuperman, Assistant Professor, Linguistics & Languages
Q&A: led by moderator



                                ~NETWORKING RECEPTION ~