Executive Summit

Agents are becoming the biggest opportunity in the enterprise, and the biggest adversary. They read your data and act under borrowed identities, at a speed no human review process was built to match. The old question in data security was how to keep bad actors out. The new one is more complex: how do you create and manage the biggest risk in your own enterprise, the agents you deployed on purpose?
Join this keynote to hear about:

• Establishing a framework where data, identity, and agent security operate as one system
• Shifting from asking whether you can trust your agents to determining what access they can be trusted with
• Balancing innovation and risk by creating visibility needed to understand agent activity

Many organizations struggle with the high failure rates of enterprise AI projects due to challenges with data quality, transparency, and context. Establishing a connected, explainable semantic layer can help make data more AI-ready and improve outcomes. Leveraging advanced tools and frameworks enables more accurate, governable, and scalable AI solutions across the enterprise.

Join this session to explore:

• Improving AI transparency and reliability with a semantic layer
• Boosting AI accuracy through advanced frameworks
• Accelerating deployment and governance with connected data

Many organizations struggle to move beyond ad hoc analytics projects, limiting the value and impact of their data initiatives. Embracing a data product mindset is essential to deliver ongoing value, accelerate innovation and boost stakeholder engagement. Learn how to identify the benefits of this approach, structure teams for success and hear real-world examples of successful transitions.

Join this session as tenured CDAOs discuss:

• Identifying the benefits of a data product approach
• Structuring teams and workflows for productized solutions
• Sharing examples of successful transitions to a data product mindset

As organizations race to deploy AI Agents and data-driven products, they quickly encounter a critical obstacle: manual data permissioning cannot keep pace with millions of decisions a day, made autonomously by a fleet of agents. To address this, leading enterprises are embedding data permissions and policies directly into their data infrastructure, reducing the need for human intervention. This shift transforms data governance from a revenue blocker into an enabler, accelerating innovation and unlocking new agentic opportunities. 

Join this session to explore how:

• Infrastructure-driven data permissioning enables AI and agentic scale
• Manual reviews hinder growth at agentic speeds and volume
• Encoded governance unlocks revenue and innovation

You can't fix AI until you address its fatal flaw: a lack of deep, adaptive context. General AI platforms are starved for the context they need to understand your business, while custom efforts to build it often stall in data-prep purgatory—most never making it to production. The result is undesirable: simple, surface-level answers instead of the strategic intelligence your business actually needs.

Join this session to discuss:

• The different categories and types of context AI needs to understand
• What it means to architect AI systems around deep business context, rather than simply adding context to existing systems
• How to evaluate contextual AI platforms based on the outcomes that actually matter

Connect with like-minded peers in a one-on-one setting through Peer-to-Peer Meetings. You will be matched with peers in your community based on your shared interests and priorities.

Integrating AI directly into operational workflows transforms routine documentation and reporting into seamless, user-friendly experiences. Success comes from building platforms that prioritize real user needs, foster organic adoption and bridge gaps in data literacy. By focusing on practical solutions and learning from past missteps, organizations can create tools that people genuinely want to use.

Join this session to learn more about:

• Embed intelligence into daily workflows to simplify and standardize critical tasks
• Design for product-market fit by solving real problems for users
• Promote adoption through education, feedback and honest lessons from failure

AI is advancing rapidly. However, the organizations leading the way are not just developing better models—they are building trusted data foundations. As AI initiatives scale into production, their success hinges on data that is governed, reliable, and fit for purpose. Without this foundation, AI projects may stall, slow down, or introduce unnecessary risks. This boardroom session will explore how CDAOs are accelerating AI outcomes by establishing a scalable data trust layer that withstands scrutiny and delivers measurable impact.

Discussion topics will include:

• How trusted data accelerates AI from pilot to production
• Key differentiators between scalable AI success and stalled initiatives
• Strategies for balancing speed with risk, compliance, and accountability

 As organizations increasingly rely on AI, missteps and imperfect outcomes are inevitable. Discover how to identify, address and learn from AI errors to minimize disruption and risk. Practical strategies for embedding governance can help turn setbacks into opportunities for improvement.

Join this session to discuss:

• Minimize AI errors and expand access through effective governance
• Address integration challenges and accelerate value by learning from missteps
• Measure and optimize AI’s impact on organizational outcomes

Building a data-driven culture requires overcoming entrenched barriers with targeted change management and leadership. By tracking the right KPIs, organizations can demonstrate the ROI of their transformation efforts to executives. As CDAO, sequencing leadership actions and engaging stakeholders strategically is essential for driving impactful change.

Join this session to discuss:

• Pinpointing key barriers and prioritize change management for quick wins
• Selecting KPIs to track progress and demonstrate ROI
• Sequencing leadership and stakeholder actions for maximum impact

Fragmented data silos can often hinder operational efficiency and limit business insight. Unifying enterprise data into a single, accessible platform requires overcoming internal resistance and solving complex integrations and compliance challenges. CDAOs looking to increase D&A impact focus on incremental value delivery, transparency and celebrating small wins to sustain momentum and drive meaningful change.

Join this session to learn more about:

• Overcome resistance and lead enterprise integration
• Sustain momentum with transparency and compliance
• Deliver value through incremental progress and small wins