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How to Confidently Govern AI - A Canadian Perspective

Identifying and preventing artificial intelligence-related risks is a major stumbling block for the adoption of AI in many businesses. This issue will become even more acute following the proposed regulations of Bill C-11 when it comes to the protection of personal information. Through this webinar, Dataiku will provide you with the keys you need to make your AI governance ambitions a reality.

Listen in as Sophie Dionnet and Paul-Marie Carfantan discuss issues surrounding AI governance in Canada as well as best practices for an effective response to this concern. Implementing this advice will allow you to accelerate your own reflection and take a healthier approach to implementing AI governance as well as improving the adoption and integration of a full range of business processes.
Recorded Jun 15 2021 56 mins
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Presented by
Sophie Dionnet, GM for Business Solutions, Dataiku and Paul-Marie Carfantan, AI Governance Solutions Manager, Dataiku
Presentation preview: How to Confidently Govern AI - A Canadian Perspective

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    Identifying and preventing artificial intelligence-related risks is a major stumbling block for the adoption of AI in many businesses. This issue will become even more acute following the proposed regulations of Bill C-11 when it comes to the protection of personal information. Through this webinar, Dataiku will provide you with the keys you need to make your AI governance ambitions a reality.

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Customers like Unilever, GE, BNP Paribas, Santander use Dataiku to ensure they are moving quickly and growing exponentially along with the amount of data they’re collecting. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.

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  • Title: How to Confidently Govern AI - A Canadian Perspective
  • Live at: Jun 15 2021 4:00 pm
  • Presented by: Sophie Dionnet, GM for Business Solutions, Dataiku and Paul-Marie Carfantan, AI Governance Solutions Manager, Dataiku
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