Delve deep to discover how the application of predictive analytics can optimize business output and improve performance.

Interactive sessions explore key concepts of predictive modelling, examination of privacy and bias, advances in the use of cyber-risk modelling, and more. Demystify the complexity of predictive analytics and start transforming big data into powerful insights now.

Presented by the Society of Actuaries, The CAS Institute, and the Canadian Institute of Actuaries

Organizing Committee

This event would not be possible without the collective efforts of the organizing committee. Thank you for volunteering your time and expertise to develop this great event for fellow members.

The CAS Institute (iCAS)
Jeffrey Baer
Adam Scarth

CIA
Patrick Duplessis
Jean-Yves Rioux

Society of Actuaries (SOA)
Kevin Pledge

General Information

Presentation Material
No hard copies of presentation materials for sessions will be provided. All presentations received will be compiled into one document and emailed to registrants prior to the seminar.

Interpretation
This program will be delivered in English only. No interpretive devices will be available

On-Site Photography
The CIA, iCAS and the SOA reserves the right to use any photograph taken at this event without the express written permission of those included in the photograph. The CIA, iCAS and SOA may use the photograph in publications or other print or and/or online media material.

Keynote Speakers

David Coletto

David Coletto is CEO and one of the founding partners of Abacus Data. He manages the day-to-day operations and leads Abacus Data’s team of research consultants and strategists, delivering strategic advice and research design expertise to some of Canada’s leading corporations, advocacy groups, and political leaders. Mr. Coletto has almost a decade of experience working in the marketing research industry and is an industry leader in online research methodologies, public affairs research, corporate and organizational reputation studies, and youth research. Read more