Privacy is not just a compliance issue, but a core aspect of building customer trust and long-term relationships. As marketing teams take a more active role in building customer trust through consent management, collaboration with privacy is essential. This session spotlights how one company is aligning their teams to manage consent effectively, drive business value, and increase brand equity with customers. You’ll hear how shared tools, goals, and workflows are helping both teams hit their goals.

AI expands the "art of the possible" for data-driven marketing but also creates new challenges for privacy and marketing teams. Join this roundtable to discuss the role of consent in an AI world, the challenge of transparency, and the uncertainty and complexity of evolving regulation. We'll discuss what is and is not working and provide practical approaches to governing risk without slowing innovation. 

As the adoption of AI expands the speed and scale of data use, enforcing policies consistently and efficiently is critical. Join privacy and data leaders to explore how teams are automating enforcement across privacy, consent, and sensitive data policies to enable innovation without sacrificing oversight. We’ll also discuss where AI and intelligent automation can enhance data governance efforts, helping teams scale faster while maintaining accuracy and control.

As AI becomes embedded in everyday workflows, the risk of data mis-use in high speed algorithms grows. This session explores practical strategies for minimizing AI risks — like model drift, overexposure, and biased outcomes — and building AI governance frameworks that promote safe, scalable, and customer-centric innovation.

As organizations rapidly adopt AI, traditional risk management approaches are showing their limitations. The pressure to rethink risk management across siloed functions is increasing, as fragmented ownership leads to blind spots, duplication, and missed signals.

This roundtable will bring together senior leaders and practitioners from various risk domains for candid discussions on:
 

• Building integrated risk programs that match the speed and complexity of AI adoption
• Real-world examples of cross-functional collaboration and implementing automation and continuous monitoring
• Strategies to align AI innovation with compliance, trust, and accountability

When pressure for growth and innovation intensifies and digital complexity accelerates, traditional approaches to risk creates friction.

In today's environment, risk management isn't just avoiding failure, it's about enabling smarter, faster decisions across the business.

Learn from one of our enterprise customers, and how they transformed risk management into a strategic decision-making framework, the practical use cases where AI accelerated outcomes, and the lessons they learned along way.