Show Notes
Faced with the complexity of managing massive amounts of digital data, it’s no surprise that organizations are rethinking how to empower their teams. Garth Gehlbach, Head of Data Governance at Western Governors University, joins us live at DC 24 in Orlando to reveal how the university implemented a self-service data discovery platform, transforming the way users access and leverage information. By leveraging a "Google for data" approach, WGU has built a system that allows users to quickly find and confidently trust the data they need. And thanks to the power of metadata in providing critical context and making data more accessible and reliable, WGU’s self-service model not only offers a practical blueprint for overcoming fragmented data sources and inconsistent reporting; it also paves the way for a more scalable and efficient data governance model. Three reasons you should listen to this episode: 1. Empowering your team with self-service data tools. Discover how implementing a self-service data discovery platform can transform your organization's efficiency, enabling users to independently find, understand, and trust data. 2. Unlocking the power of metadata. Hear how WGU used metadata to provide critical context, making data more accessible and reliable, and how you can apply similar strategies to your data governance efforts. 3. Overcoming data governance challenges. Gain insights into tackling common issues like fragmented data sources, inconsistent reporting, and building trust in your data through proactive governance strategies. Resources Connect with Thomas Connect with Garth
Enjoyed this Episode? Be sure to follow us so you never miss an update. You can leave us a review on Apple or Spotify, and share it with your friends and colleagues to help others learn more about the importance of a data-first digital transformation approach. Have questions? You can connect with us on LinkedIn. For more updates, please visit our website.
More from 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.
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.
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:
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.