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Business Insights: Finance for AI Projects

May 19, 2021 @ 10:00 am - 12:00 pm

For Vector Sponsors, health partners, Vector researchers only

AI technology is a must-have to stay competitive in the current market. This event will support you and your company to lay the foundations for, and improve on cost effective AI practices. Implementing AI can reduce errors, time, and costs in projects, but is there room to make funds go further? 

What are the fixed and variable costs in AI projects and where can they be reduced without compromising the quality of outputs? How do we get Finance to sign off on ‘AI experiments’? When should we approve financing for AI projects and innovation and when should we tighten belts on spending?

Join us on May 19th to take a closer look at cost effective ways to adopt and advance AI in organizations.



  • Alexandre Guilbault, Director of AI & Advanced Analytics, TELUS
  • Ren Zhang, Enterprise Chief Data Scientist, BMO
  • Margaret Wu, Lead Investor, Georgian
  • Andres Rojas, Director Applied AI Projects, Vector Institute
  • Zain Yusuf, Sr. Manager Enterprise Machine Learning, TD Securities


photo of Alexandre Guilbault

Alexandre Guilbault, Director Artificial Intelligence & Advanced Analytics, Telus

Alex is both passionate about people and Augmented Intelligence.  He is driving the Advanced Analytics & AI team where cutting edge technology translates into meaningful benefits for his organization. Alex and his team are ensuring they can apply the latest technologies to deliver concrete, positive and measurable impact.







photo of Ren Zhang

Ren Zhang, Chief Data Scientist, BMO Financial

Ren is the Chief Data Scientist for BMO Financial, in charge of driving adoption of AI and Machine Learning capabilities to automate processes and deliver better predictive decisions that will help the businesses drive accelerated revenue, cost productivity and customer outcomes across the enterprise.

Ren has over 15 years experience as a senior AI leader within various financial organizations. Prior to BMO Financial, she worked at Prudential Financial, where she was Vice-President and Head of Data Science. Prior to Prudential, Ren was Executive Director of Data Science and Innovation at Commonwealth Bank of Australia. And at American Express, she held progressively senior leader roles, ranging from credit risk management, to loyalty analytics, to fraud risk strategy, and to risk capabilities, with her last being Vice-President, Risk and Information Management of Enterprise Growth. Ren holds a PhD in Statistics from The Wharton School at the University of Pennsylvania.





photo of Margaret Wu

Margaret Wu, Lead Investor, Georgian

Margaret Wu is a Lead Investor at Georgian, a fintech company investing in high growth technology companies that harness the power of data in a trustworthy way. Prior to joining Georgian, Margaret was a Senior Product Manager at Amazon and previous to this, she co-founded a biotech company called Uma Bioseed and served as the Chief Operating Officer at









Andres Rojas

Andres is the Director of Applied AI Projects at the Vector Institute for Artificial Intelligence, where he is accelerating the adoption of AI in some of Canada’s most influential companies. Some key areas of his work include Trustworthy AI and its Governance and translating AI quirks to the corporate environment. Andres has over 15 years of experience in the financial industry spanning more than 16 countries, designing and implementing data-enabled solutions to achieve greater operational performance, stronger risk management and enhanced business responsiveness. He is an Industrial Engineer from the University of Chile, holds an MBA from Manchester University, a certified Project Management Professional and a certificate in AI from the University of Toronto




This event is open to Vector Sponsors, Vector Researchers, and health partners only. Any registration that is found not to be a Vector Sponsor, Vector Researcher or health partner will be asked to provide verification and, if unable to do so, will not be able to attend the event.


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