key learning objectives

Data Governance & AI CoE

In this workshop, we will examine the critical role and framework of data governance in building a robust AI Center of Excellence.

Participants will learn best practices for data management, compliance, and quality assurance while developing strategies to integrate AI effectively and responsibly within their organizations.

1 Day

Virtual or In-Person

10 to 25

Worldwide

English or French

key learning objectives

From Curiosity to Clarity: What You’ll Gain Here

01
Educating participants on best practices for ensuring data accuracy, security, and compliance within AI initiatives.
02
Guiding attendees in establishing AI Centers of Excellence to centralize expertise and streamline AI integration.
03
Enabling participants to align data management strategies with organizational objectives to maximize AI's impact.

Workshop Agenda

What is a CoE?
2 hours
Data Governance Framework
1 hour
Applying Framework Fragments
2 hours
1 Day
Who it’s for

Tailored for Minds Ready to Move Forward

01

Business Leaders and Executives

Decision-makers such as CEOs, CTOs, CIOs, COOs or department heads.
Understanding AI’s strategic impact, exploring its applications in improving operations and decision-making.
02

Entrepreneurs and Innovators

Startup founders and innovators exploring AI opportunities.
Leveraging AI to create new products or services while addressing risks and compliance needs.
01

Project Managers & Operators

Professionals managing AI-related projects or leading cross-functional teams.
Learning how to scope, execute, and deliver AI projects successfully.
Next steps

Once attendees have a better understanding of AI…

We can start identifying areas in their roles and organizations where AI can solve problems or improve processes, and propose pilot projects.

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