AI governance: 4 steps to success

AI governance: 4 steps to success

Ready to embrace the future of AI but want to ensure you do it correctly? Dive in and discover:

  • How to define AI goals and use cases that leave the hype behind and deliver real impact

  • Why trusted data is your secret weapon against bias and compliance risks

  • The 4 actionable steps to build and monitor ethical, high-performing models

  • How Collibra AI Governance empowers you to unleash AI's full potential

Unlock your AI roadmap and build a future with trusted data.


Implementing AI governance may sound challenging. However, it doesn’t have to be. This ebook is designed to Introduce and guide you through an easy-to-implement AI governance framework and help you make an effective, successful AI governance program a reality at your organization.


Sales forecasting models. Customer churn. Even chatbots. Your organization has probably been using artificial intelligence (AI) for years. Then the introduction of generative AI tools — like OpenAI’s ChatGPT — changed everything. 

Today, we’ve entered the era of AI. The promise is significant. Generative AI could add up to $4.4 trillion annually to the global economy according to a recent McKinsey report. However, so is the peril. Heavy fines, reputational damage and the loss of customer trust are all risks. If left unchecked, AI can create real challenges, especially if your AI roadmap isn’t accompanied by rigorous governance.