Executive Summit

High-performance data movement is foundational to unlocking the full value of enterprise data, especially as the CDAO’s role expands in the AI era. A unified data integration approach streamlines operations and empowers CDAOs to lead change, enabling automation, cross-functional collaboration and business alignment to accelerate data-driven culture and innovation.

Join this boardroom to discuss:

• Automating reliable, end-to-end data movement at scale
• Simplifying the data integration lifecycle for greater business alignment
• Accelerating adoption of data-driven culture and AI through proactive change leadership

Many organizations struggle to move AI from pilots to production at scale. Barriers include fragmented data, unclear ownership, and governance not built for agentic workflows. As AI systems act autonomously across the enterprise, speed increases while governance and accountability grow harder to sustain. For CDAOs, this is a leadership moment. Data is the execution layer of AI strategy, and scaling AI requires operating models that align value, trust, and accountability.

Join this session to learn how to:

• Diagnose why AI initiatives stall and establish readiness
• Redesign governance for agentic operations
• Move from pilots to scalable AI programs

AI is ushering in a new wave of users who can access analytics insights. This transformation brings vast opportunities and significant challenges. When executed well, it equips teams with essential information; when mishandled, it can compromise business integrity.

Join this session to explore:

• Building trusted semantic models, clear KPI definitions, and unified business metrics
• Anticipating the decline of traditional dashboards and what’s on the horizon
• Delivering outputs that are accurate, explainable, consistent, and governed

The greatest risk in AI isn’t building the wrong solution; it’s solving the wrong problem. Real success comes from identifying opportunities that deliver measurable value by directly connecting AI initiatives to revenue growth, margin improvement, increased speed, or risk reduction. AI is an enabler of strategy, not the strategy itself.

Join this session to discuss:

• Identifying high-impact AI use cases that matter most to the business
• Applying product management fundamentals to AI initiatives to drive adoption and results
• Cultivating the culture for lasting AI success

Let's take it back to the basics — ensuring that data is accessible, reliable and truly serves business needs. This foundation opens the door to everything else and is key for successful CDAOs.

This session will explore:

• Aligning data initiatives with your organization's core goals and priorities
• Anchoring stakeholder discussions in real business use cases to ensure relevance and buy-in
• Prioritizing strong foundational data management and defining what "good enough" looks like for your business