Nick Darveau-Garneau
Board Director, AI Evangelist, Senior Executive
TMX, Toronto Stock Exchange
Speaker Bio
Mr. Nicolas Darveau-Garneau (“Nick”) is an AI and digital transformation expert with over 25 years of experience.
Nick was Google’s Chief Evangelist, where he worked with the C-suites of more than 800 of Google’s top customers to help them accelerate their digital transformation. Nick also worked as Chief Strategy and Growth Officer at Coveo, a leading AI company.
Nick is on the Board of Directors of the TMX Group (TMX:X), iA Financial Corporation (TMX: IAG), and Alida.
Nick has been a technology entrepreneur, investor, and analyst since 1995. He was part of the founding team of MSn.com at Microsoft. He co-founded four Internet companies, selling three of them. Nick has also invested in 21 technology companies.
Mr. Darveau-Garneau graduated with a Bachelor's in Mathematics from the University of Waterloo and an MBA from Harvard Business School.
Company Profile
Nick Darveau-Garneau
's Events
A primer to help senior executives and board members get up to speed on everything artificial intelligence. We will unravel the enigmatic world of AI with our esteemed guest, Jonathan Rosenbluth, VP Product at Cohere. Learn how to harness this new technology while preparing for its impact in the business landscape of today.
Learn how Carole works with major institutions, governments, and corporations adapting to the fields of AI, privacy, and cybersecurity. We will also delve into the nuanced realm of AI ethics, compliance with privacy laws, and regulatory frameworks.
Join us with Jas Jaaj, Managing Partner of AI at Deloitte, for "Now Decides Next: The State of Generative AI in the Enterprise 2024," where he emphasizes the urgent need for enterprises and individuals to experiment with AI. Learn why mastering generative AI is crucial for survival, and how adopting a strategic approach to deployment can leverage the technology's full potential.
Gopi will shed some light on the emerging strategies and share invaluable insights into real world examples of how the world's largest companies are navigating the world of AI and uncovering massive opportunities.
In this thought-provoking discussion with Vector Institute CEO Tony Gaffney, we will delve into the critical importance of AI research in linking investment in AI, R&D, and the advancement of Canada's progress and economy. We'll explore how research-driven insights can fuel innovation, drive productivity, and position organizations for success in a rapidly evolving landscape. Gain practical insights into fostering AI collaborations, leveraging academic expertise to apply to real-world industry use-cases and more.
Let's join Evan in a deep dive into the heart of Silicon Valley, as he helps us explore the pace of change and the investors currently fueling GenAI.
By sharing his first-hand perspectives into the growth of an AI business in Toronto, Neil will speak to us about Geotab and its journey to becoming #1 in global telemetry.
How can a board put a dashboard and metrics in place to navigate the waves of the AI Tsunami? In 2018, a Canadian start-up started developing AI Guardrails while the AI Tsunami was just a ripple. Like a good hockey player, NuEnergy.ai was not focused on where the puck was but where it was going to be. As the tsunami hit, the company obtained patents for its Machine Trust Index, graduated after significant testing from the Government of Canada's Innovation Solutions Canada program, and has since been on the global stage in the US, Asia, and Europe sharing best practices in practical and measurable AI Governance.
Learn how to build relationships with enterprise organizations, industry partners, and government entities to navigate the challenges of AI adoption. From iteration to operationalization, AltaML co-develops solutions that drive impactful business results by helping to effectively adopt and implement AI technologies.
Join us and Hans Peter Brondmo as we explore how robotics and automation are revolutionizing industries and shaping the future of work.
In this discussion, we will explore the factors both philosophically and practically that are arising around the speed and development of AI technology.