Hey, Toronto!

Harness the momentum of AI to create a better today, tomorrow, and beyond.


AI adoption has more than doubled in the last year, with 92% of Fortune 1000s planning to increase their investments in 2022. AI is no longer an experimental curiosity—it’s table stakes for modern organizations. But Gartner reports that across industries, AI maturity isn’t keeping up with interest.  
How do you take full advantage of AI—and ensure you’re doing it responsibly? 
We’re going on tour with AWS, Databricks, and Tableau to help organizations like yours take the next step in your AI journey. Join us for an in-person event where you’ll learn how to harness the momentum of AI responsibly, from education and enablement, to experimentation and learning, to building and scaling. You'll walk away with tangible steps to get your organization from now to next on the AI maturity curve, plus the opportunity to network with AI experts and business leaders in Toronto.


Date: Thursday, September 29, 2022
Location: Four Seasons Hotel Toronto,
60 Yorkville Ave, Toronto, ON
Vinci Ballroom


3:00PM - Cocktails and registration
3:30PM - Presentation and Q&A
5:00PM - Cocktails, hors d'oeuvres & social networking
6:30PM - Departure


Questions? Email: canadamarketing@slalom.com

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Meet the speakers



Jennetta George | Global AI Leader | Slalom
Jennetta George is a Global AI Leader at Slalom, with over a decade of experience working in data science. Jennetta comes from a public sector background, specializing on building NLP and predictive graph database solutions. She now focuses on helping executives and team leads unlock maximal potential from AI solutions across different industries and verticals, as well as helping to educate and enable data scientists on her teams. 



Rebecca Gonzales | Sr. Consultant, Responsible AI | AWS
Rebecca Gonzales is a Sr. Consultant for Responsible AI at Amazon Web Services. Before her current role, she spent more than 20 years in the technology sector, has mentored international startups and women entrepreneurs, and was an entrepreneur running her own marketing consultancy. She is passionate about using technology to improve people’s lives. 


Suraj Chandrasekaran | Senior Manager, Solution Engineering | Tableau
Suraj leads the Tableau Solution Engineering team across Canada. With 5 years of experience as a Solution Engineer and as a Leader specializing in Analytics & AI, he is passionate about helping businesses leverage their data to uncover key business insights, tackle complex use cases, and operationalize AI at scale to empower all employees to deliver exceptional customer experiences.

Reid Oliver | Regional Sales Director | Databricks
Reid leads the Canada East Enterprise team at Databricks. His team covers Retail, Technology, Manufacturing/Energy, Communications, and Public Sector. Prior to joining Databricks, Reid spent 3+ years at Splunk helping to develop the Canadian market. 

Alex Terado | Solutions Architect | Databricks
Alex is a Solutions Architect at Databricks. In his role at Databricks, Alex works with customers to solve complex use cases leveraging Data Engineering, Machine Learning, and Cloud Architecture best practices. His current focus is on partnering with Canadian retail customers to derive value from their Databricks footprint. Prior to Databricks, Alex spent 3 years at SAS working on the Data Science and Financial Services teams, as well as a year as a Data Analyst at a start-up in Kingston.


Mark Persaud | Solution Engineering Leader, D&A and AI | Slalom
Mark has spent 25+ years working collaboratively with clients, practitioners, and partners to define and deliver transformational data and analytics initiatives. He played the role of Chief Data Officer at a Major Canadian Bank and is a board member at DAMA Toronto.​ Mark is a frequent conference speaker and lecturer on the trends, value, and leading practices implementation of Data Management and Governance, Architecture, and AI.​ At Slalom, he leads the Solution Engineering competency for D&A, working closely with our practices, partners, and data-driven organizations to strategize, build, and operationalize data and analytics capabilities that improve customer experiences, help mange risks, and grow businesses.