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Data Trends in 2019

Jan 16, 2019 · Toronto, Canada


For those who did RSVP, please arrive between 6 and 6:30pm to minimize any disruption to those who work in the Aviva office. The elevators on the lower level can be used to access the 49th floor. Elevators lock at 6:20pm. Up until 6:45pm, we will have greeters escorting you up. There will be no access after 6:45pm!

Please note that this event is sold out. Unfortunately, we cannot accommodate those who did not RSVP. Keep an eye on our meetup page for our upcoming events!


6:00 - 6:30 Networking, snacks and drinks
6:30 - 7:45 Panel
7:45 - 8:30 Networking, snacks and drinks


The landscape of big data has been transformed over the past few years. Predictive analytics continue to penetrate more and more industries, while the rise of tools that automate data analysis and machine learning -- with no less than a simple drag and drop -- has made drawing insights from big data more accessible.

Moving into 2019, we expect some of these topics to stay in the spotlight and gain more momentum. We also expect some of them to fizzle out in the background, giving room for new trends to rise. We invite you to our panel discussion with 4 data professionals to learn more about the trends to expect in 2019.


Nicole Brouillard is the Chief Information Officer of Aviva. She is a strong technology strategist and brings a 20-year record of accomplishments of delivering advanced technical and business transforming solutions to Fortune 500 global companies.

Katrin Shechtman is the Head of Architecture at Thomson Reuters, where she is responsible for the company’s cloud transformation. Previously, she worked with several startups as a Software Engineer, Team Lead and Architect, building highly scalable low latency distributed systems. Katrin also teaches the Data Science program at the University of Toronto. She holds Bachelors and Masters degrees in Computer Science (with Thesis in Distributed Computing) from Hebrew University of Jerusalem.

Janice Tsang is a strategist with finance and data analytics experience. Currently, she is a Senior Analyst at RBC Ventures where she scales over 20 ventures that reinvent banking. She also pioneers cross-functional initiatives with the core bank by employing her business intuition and quantitative skills. Janice is a CFA charterholder and a Masters of Management Analytics candidate. In her spare time, she volunteers with Data for Good and engages in alternative data acquisition with Earthwatch.

President and CEO of Environics Analytics (EA), Jan Kestle has been a leader in the marketing information industry for more than forty years. An expert in using statistics and mathematics to help solve business challenges, she’s helped hundreds of customers—in industries ranging from finance and retail to the not-for-profit sector—turn data and analytics into insight, strategy and engagement. Prior to founding EA in 2003, Jan was president of Compusearch and spent 19 years at the Ontario Statistical Centre.


Quandl's mission is to extract value from the world's data. They want to inspire customers to make new discoveries and incorporate them into trading strategies. They find opportunities in places people otherwise wouldn’t think about. Quandl is listed as a Fintech 50 company in 2018. Learn more about Quandl here: www.quandl.com

Aviva Canada is one of the leading property and casualty insurance groups in the country providing home, automobile, leisure/lifestyle and business insurance to more than three million customers. A wholly-owned subsidiary of UK-based Aviva plc, the company has more than 4,000 employees focused on creating a bright and sustainable future for our customers and our communities. Learn more about Aviva here: www.aviva.ca and www.digital.aviva.com

Event organizers
  • Women in Big Data Toronto

    At Women in Big Data Toronto, we strive to connect like-minded data professionals in a welcoming and engaging environment. Our goal is to grow, elevate and nurture female talent in the big data and analytics space through knowledge-sharing and community participation. While our core effort is to strengthen diversity in the big data field, Women in Big Data Toronto’s mandate is all encompassing and doesn’t discriminate against any gender identification. Women in Big Data Toronto is the first Canadian chapte

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