Data leaders have their hands full. 

What the data governance landscape looks like in 2025:

• AI adoption is accelerating
• Regulations are tightening
• Teams are under pressure to do more with less

Data leaders across every industry are navigating these challenges while maintaining trust in their data and ensuring it's both secure and accessible. To stay ahead, data teams are working towards proactive approaches to governance that enable innovation without compromising compliance.

On February 26, 2025, we invite three data governance experts to answer five questions that data leaders need to address and explore emerging tools, trends and techniques to get you up to speed for the year. Join us to learn from the best, get your questions answered, and meet fellow data governance professionals.

Register here

Here’s a preview of the five most pressing questions we’ll explore - questions every data leader needs to be asking right now:

1. Does data governance hinder AI adoption?

AI is the latest trend dominating conversations, with teams racing to figure out how use AI for a competitive edge. 

However, the success of AI initiatives rely on building a foundation of high-quality, well-governed data. It may not be the flashiest answer, but it’s the one that makes AI work. As the saying goes: garbage in, garbage out.

Yet, for many organizations, existing governance frameworks feel like a roadblock, or red tape: rigid, outdated and out of sync with the rapid pace of innovation being demanded.

But what if governance didn’t have to slow things down? Innovating thinkers are redefining data governance as an enabler, not an obstacle. This looks like automating repetitive tasks, embedding governance into workflows, and embracing flexible policies.

The real question is: how do you design governance to support innovation instead of stifling it?

 2. Is scalable governance achievable in complex Cloud environments?

As organizations grow, governance becomes increasingly difficult to maintain. 

Manual processes become bottlenecks. Maintaining accurate documentation becomes a struggle. Legacy tools crack under the weight of enterprise demands.

The solution lies in scalable, automated governance systems designed for complexity. These systems don’t just document policies, they enforce them dynamically across cloud environments. 

Innovations like metadata-driven governance and policy-as-code are already helping teams scale effectively, and leaders can learn lessons from organizations that have made governance work at scale.

3. How can governance challenges turn into business opportunities?

Historically, data governance has been treated as a cost center: a necessary but unexciting part of business. But lately, the narrative is shifting. 

Companies that master governance are finding ways to differentiate themselves, whether by accelerating compliance processes, creating new revenue streams, or improving customer trust.

Instead of viewing governance as overhead, leading organizations treat it as a foundation for growth. They invest in systems that reduce inefficiencies, streamline collaboration, and build resilience. The question isn’t whether governance can be a competitive advantage… it’s how you turn the challenges into opportunities.

4. Are modern data tools essential to a successful governance strategy?

The explosion of modern data tools has redefined what’s possible in governance.

But not all tools are created equal. Teams must evaluate which solutions align with their governance needs without adding unnecessary complexity. 

The right tools empower teams to focus on strategy rather than firefighting, creating space to focus on high-value initiatives that drive business impact. A well crafted toolkit is a huge driver for success in data governance.

5. Are organizations ready for the future of AI governance?

AI regulation is no longer a distant possibility - it’s here. Governments and industries are moving to establish frameworks that ensure AI is ethical, secure, and aligned with societal values.

Yet readiness varies widely. Some organizations are already aligning their governance practices with emerging regulations, while others are struggling to keep pace with the speed of technological change. Preparing for the future of AI governance means anticipating regulatory shifts, adopting flexible policies, and integrating tools that evolve with the landscape. The question becomes: how do you build a governance strategy that stays relevant as AI evolves?

Join us for an in-depth exploration of these pressing questions at our upcoming roundtable discussion, The State of Data Governance in 2025. This session is a chance to learn directly from leaders shaping the future of governance.

Here’s what you’ll gain:

• Proven strategies that scale: Discover what works when governance challenges grow with your organization.
• AI governance readiness: Learn how top organizations are tackling regulation and evolving their practices to stay ahead.
• Lessons from the trenches: Avoid common pitfalls and adopt smarter approaches to governance.
• From blocker to enabler: Hear how governance can become your secret weapon for innovation and trust.

This event is designed to equip you with actionable insights, whether you’re a seasoned leader or just starting to navigate the complexities of modern data governance.

Event Details:

📅 Date: February 26, 2025
⏰ Time: 12:00–1:00 PM EST

Don’t miss your chance to join the conversation and prepare your team for success in 2025 and beyond.

Register today!