Executive Summit

Open Data Infrastructure is essential for organizations in the AI era, helping leaders scale analytics and AI while maintaining control. CDAOs must balance innovation, flexibility and cost as data platforms expand.
Join this boardroom to discuss:

• Designing interoperable architectures to avoid lock-in
• Applying openness to semantics, metadata and governance
• Enabling AI and operations with flexibility and cost transparency

Before organizations can fully realize the promise of AI and analytics, they must first tackle the foundational challenge of data quality. Effective cleanup and management lay the groundwork for modern architecture, seamless integration, and new opportunities with advanced data and AI.

Join this boardroom to discuss: 

• Cleaning and managing non-structural data
• Maintaining ongoing data integrity 
• Creating new opportunities for AI and analytics

Turning promising AI ideas into real business outcomes requires more than inspiration—it takes a clear process, the right tools, and a practical roadmap. As organizations look to scale, leaders must decide which resources are essential, how to upskill or recruit talent, and how to prioritize when time and budget are tight.

Join this boardroom to discuss:

• Designing a practical roadmap for developing and deploying AI
• Identifying incremental tools necessary for AI proficiency
• Aligning talent and resources to advance business priorities

As AI maturity accelerates, governance must evolve just as quickly. The most effective frameworks are business-led, transparent and inclusive—empowering teams without slowing innovation. Discover how to validate, modify or implement a governance structure that drives value across the enterprise.

In this session, you’ll learn how to:

• Build a structured, business-driven data governance framework
• Use rubrics to balance complexity, risk, and ROI
• Foster a data-driven culture while scaling responsible AI