Artificial intelligence company to confer a total of $30,000 in support over the next five years.

FEBRUARY 24, 2017, TORONTO ON – Daisy Intelligence Corporation, an artificial intelligence software-as-a-service platform, announced today that they will be offering a total of $30,000 in scholarship support for students in the Engineering Science program at the University of Toronto’s Faculty of Applied Science & Engineering. The new Daisy Intelligence Scholarships in Engineering Science will be awarded each year to three students completing their fourth year of study in each of the program’s Electrical and Computer Engineering, Robotics, and Mathematics, Statistics & Finance majors. Three scholarships will be awarded each year based on academic achievement and each recipient will receive a $2,000 Daisy Scholarship.

The Engineering Science program at the University of Toronto is one of the most distinguished engineering programs in the world and attracts top students who are looking for an academic challenge. This enriched program is widely regarded as an innovator in engineering education and provides students with excellent preparation in a wide range of engineering, science and mathematical fields. Historically, about half of the program’s graduates pursue post-graduate studies at top graduate schools around the world.

“As a U of T Engineering Science alumnus, I wanted to recognize student achievement in one of the best engineering programs in the world. This program is critical to keeping Canada on the leading edge of artificial intelligence and critical to maintaining Canada’s global competitiveness. I am so happy we can do our part in recognizing these high academic achievers in this important program.” said Gary Saarenvirta, CEO of Daisy Intelligence. “This is our first year awarding the Daisy Intelligence Scholarships in Engineering Science and we intend to continue this to help the university recruit and retain the best and brightest students.”

Saarenvirta received his undergraduate degree in 1988 and holds both his B.A.Sc. and M.A.Sc. degrees in Aerospace Engineering from the University of Toronto. His M.A.Sc. was in Computational Fluid Dynamics at the University of Toronto’s Institute for Aerospace Studies. The Daisy Intelligence Scholarships in Engineering Science recipients are those who attained academic excellence in their fourth year of study.

About Daisy Intelligence
Daisy Intelligence is an artificial intelligence software-as-a-service company that analyzes very large quantities of our clients’ transaction and operational data in order to make automated operational decision recommendations which our clients can immediately action to improve their business. Using our proprietary mathematical solutions and the Daisy A.I. based simulation platform, Daisy Intelligence analyzes 100% of the tradeoffs inherent in any complex business question and provides weekly, specific recommendations to help our corporate clients grow total sales, improve margins, reduce fraud and delight customers.

About University of Toronto Faculty of Applied Science & Engineering
The University of Toronto’s Faculty of Applied Science & Engineering is Canada’s premier engineering school and among best in the world. Our diverse community includes more than 5,400 undergraduates, 2,300 graduate students, 260 academic staff and nearly 50,000 alumni. Through innovations in engineering education, we prepare the next generation of global engineering leaders with strong technical foundations and professional competencies in multidisciplinary research, teamwork, leadership and entrepreneurship. Our faculty members are international leaders in research who collaborate across disciplines to address key global challenges, from new diagnostics and treatments for human diseases to wearable technology, smart cities and renewable energy.

For more information, contact:
Gary Saarenvirta
CEO, Daisy Intelligence Corporation
905.642.2629 ext. 221

Christina Heidorn
External Relations Officer, Division of Engineering Science
Faculty of Applied Science and Engineering, University of Toronto

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