Data Citizens Dialogues

Most companies still treat governance like a compliance chore. Fatimh Al-Jaber of Ooredoo Qatar explains why that mindset breaks down fast once AI, customer decisions and trust are on the line.

As head of AI and data governance at one of Qatar’s leading telecom companies, Fatimh shares how Ooredoo shifted from “governing to protect” toward “governing to create value” and why that change turned data governance into a strategic capability, not a back-office obligation. She and Stan from Collibra unpack the real-world tension between speed and control and how AI is exposing governance gaps faster than traditional data programs ever could.

You’ll discover:
Why AI governance and data governance are two sides of the same coin
How a “maturity curve” can move a team from compliance to monetization
What makes telecom data especially messy, from fragmented systems to inconsistent definitions
Why ownership, lineage and a single business glossary are non-negotiable
How Ooredoo defines AI-ready data with four practical criteria: clear meaning, accountability, quality and traceability

Fatimh also breaks down the human side of the work. Platforms matter, but culture changes only when business leaders take ownership, stewards are named and governance is tied to customer trust. She explains how Qatar’s privacy laws, ISO 42001 alignment and a customer-first brand mindset shape every decision.

If you’re trying to build trusted AI, clean up messy data or get governance funded by proving business value, this conversation is a sharp, practical guide. Perfect for data leaders, AI teams and anyone who wants governance to become invisible because it finally works.

AI projects don’t fail because the model is bad. They fail because the context, governance and accountability layers are missing. Corey Wagner and Ravit break down why clean data is only half the battle, and what enterprise leaders need in place before agents can deliver real value.

Ravit points to the “context gap” most teams overlook: the same word can mean different things across finance, marketing and operations, and AI will get it wrong if the business meaning isn’t attached. Corey expands that idea into a strategy for turning raw data into trustworthy information by linking it to business terms, policies and regulations so teams can move faster without guessing.

You’ll discover why agent governance becomes urgent once you have thousands of autonomous systems running at once, why a registry and accountability structure matter and how human in the loop and human over the loop models help organizations stay in control while scaling.

If you’re trying to move AI from pilot to production, this episode gives you a practical lens for doing it with more trust and less chaos.

Unlock the secrets to effective AI prompting and data management that can transform your organization’s decision-making and efficiency. Join Stijn and Maiquel Sampaio de Melo from IDB Invest as they dive into the fundamentals of problem-solving in data and AI. They share practical frameworks you can use today, from defining your problem in a single sentence to understanding your current process and visualizing the ideal outcome. Learn how to think before you prompt, prepare with intention and organize your data workflow so AI performs better under pressure.
You will also hear concrete tactics like the six criteria for description quality, five critical questions to ask before using AI and ways to measure business value with clear outcomes. We cover:

* Methodology for effective prompt engineering
* The role of data quality in AI outcomes
* Using questions to guide AI problem-solving
* The concept of mise en place in AI preparation
* Measuring AI success with clear outcomes
* Balancing urgency and thoughtful prompting
* The evolution of prompt engineering and problem-solving skills

Watch more Data Citizens Dialogues at collibra.com/podcasts

Effective data and AI governance isn't just about compliance—it’s the foundation for trustworthy, high-impact decision making. In this episode, Fatimh Khalid J.A. Al-Jaber from Ooredoo Qatar reveals how transforming governance into a strategic enabler supercharges AI success and customer trust. Discover how a telecommunications giant shifted from viewing governance as a compliance burden to positioning it as a key driver of innovation and value creation. Fatimh breaks down the practical steps they took, including building a unified data glossary, tracking data lineage and prioritizing high-impact data domains while celebrating measurable progress along the way.
Learn how Qatar’s privacy laws and international standards shape a trustworthy, customer-centric data approach not just for compliance but as a strategic differentiator. We cover:
* How data governance becomes a strategic advantage
* Why trust and accountability matter for AI success
* How Ooredoo Qatar supports fast AI deployments
* Managing governance across complex telecom systems
See more Data Citizens Dialogues at collibra.com/podcasts

Most companies are unprepared for AI's rapid evolution and if you do not shift your governance approach now, you will fall behind. In this episode, Joe Wallace from Adobe shares a practical concept called “shift down” that helps teams build AI safety and agility into the foundation so they can innovate without constant approval bottlenecks.Wallace explains governance through a garden analogy. Teams can freely harvest the right data while keeping harmful risks out. He also shows why rigid checklist frameworks can leave organizations audit-ready but risk-blind and why built-in safeguards scale better as AI evolves.You will learn:
What the “governance stack” is and how discover, use, protect and orchestrate work together
Why “shift down” helps teams move faster with fewer approval delays
How legal, security and product teams can align around AI at scale
The risks of weak governance including data leaks, misuse and privacy issues
Practical ways to encourage experimentation and help your team say “just try”
If you want to lead in AI without sacrificing control, this episode gives you a clear blueprint for turning governance from a bottleneck into an enabler.