AI literacy and
Collibra: Bridging
the literacy gap

Organizations can bridge the AI literacy gap with the right strategies and supporting tools from Collibra.

Build a common understanding:
A shared AI glossary ensures alignment and clear communication

Collibra provides a centralized business glossary to standardize AI terminology across teams

Train leadership:
According to a recent McKinsey study, nearly 50% of AI projects fail to scale due to leadership misalignment, unclear ROI and lack of governance. Decision-makers need foundational AI knowledge and visibility into AI initiatives to align strategies with business goals

Collibra offers leaders a single pane of glass for all AI initiatives, with documentation helping them to grasp the big picture of AI use cases at once

Simplify AI understanding:
AI use cases can be complex to understand and manage, especially for non-technical stakeholders. Every person on the AI Council needs to understand how their space pertains to AI to bring diverse perspectives and collaborate effectively

Collibra simplifies AI use case understanding and governance with a built-in model and AI use case documentation, ensuring clarity and accessibility for all stakeholders

Ensure AI traceability and build trust:
AI practitioners and business teams need to be knowledgeable about how AI models function, what data they rely on and the regulatory safeguards required for responsible use

Collibra enables teams to trace AI decision-making by mapping data provenance, visualizing AI workflows through interactive diagrams and tracking model inputs and outputs. It also helps educate users on compliance requirements, ensuring AI use cases adhere to ethical and regulatory standards while remaining transparent and trustworthy

Foster collaboration:
Breaking silos between technical and non-technical teams enables diverse perspectives
and informed decision-making

Collibra simplifies AI lifecycle management
with collaboration tools, alerts and notifications

Learn by doing:
The 70/20/10 learning model shows that 70% of learning comes from hands-on experience, making practical engagement crucial

Collibra provides user-friendly tools to
manage AI use cases, track data lineage
and ensure compliance

Develop social learning:
Community-driven learning helps organizations stay ahead of evolving AI trends and best practices

Collibra connects users through the Collibra Community and shares AI governance insights
on a regular basis

Refresh learning continuously:
AI is rapidly evolving, making ongoing education essential. Formal training must be updated regularly to keep pace with new regulations, risks and best practices

Collibra University offers regular training and certification programs on data and AI to keep teams informed and compliant

Let’s face it. Navigating complex policies, risks and workflows can be overwhelming. The Collibra Co-Pilot, embedded within the Collibra AI Governance platform, serves as a digital companion that empowers every stakeholder—data stewards, compliance officers and AI practitioners—to confidently manage AI governance.

Unlike static documentation or rigid processes, the Collibra Co-Pilot enables users to learn by doing, offering real-time guidance as they interact with governance workflows. By explaining AI governance concepts in context, it ensures that users not only comply with regulations but also deepen their understanding of best practices. Instead of getting lost in procedural complexity, users can cut through the noise and focus on core insights—whether it’s assessing AI model risks, validating compliance or enhancing data transparency.

More than just an assistant, the Collibra Co-Pilot acts as a coach, helping stakeholders discover, understand and improve their AI governance skills. It transforms governance from a daunting task into an intuitive, continuous learning experience. With every interaction, users refine their expertise, making AI governance not just a requirement but a strategic advantage.

Collibra Co-Pilot: Your AI Governance digital companion

Spotlight: Data Science
at Collibra University

Data Scientist path: Data Scientists turn data into decisions that drive your business forward. This learning path will equip you with the skills and tools necessary to harness the power of Collibra, answer critical questions about your data and make informed business decisions.

Learn more

AI literacy: Future-proofing the future

As you’ve learned, AI literacy is critical in today’s rapidly evolving AI-everything world. AI literacy refers to the skills, knowledge and understanding needed for providers, deployers and affected individuals to make informed decisions about AI while recognizing its opportunities, risks and potential harms.

A track record of developing and launching successful AI initiatives is the goal. However, achieving true AI literacy means informing stakeholders about AI risks, providing insights into reliability and ensuring they understand the traceability of AI systems. It also means helping your colleagues put AI literacy into practice—enabling both technical and non-technical professionals to design, deploy and manage AI solutions that are not only transparent and trustworthy, but also fully compliant with evolving regulations and ethical standards.

More than just a regulatory headache, AI literacy is an accelerator—empowering organizations to develop better, more trustworthy AI use cases that drive innovation and provide a true competitive advantage in the AI race.

Organizations that prioritize continuous education, align with governance frameworks like the EU AI Act and foster collaboration across teams will gain a competitive edge.

How prepared is your organization to lead in the AI-driven world? The future belongs to those who act now.

Learn more about the power of AI