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 protecting data 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

Most technology transformations begin with a platform rollout. AI is different. Employees are already experimenting with AI across the business, making traditional top-down adoption strategies difficult to sustain. As organizations pursue ambitious value targets, leaders must balance broad AI enablement with focused investments, governance, and change management that support business outcomes.

Join this session to learn how to:

• Enable responsible AI adoption across the enterprise
• Balance broad AI access with targeted strategic investments
• Build governance models that accelerate, rather than restrict, value

Every CDAO believes their work creates value. The harder question is whether the CFO agrees. As executive scrutiny of technology and AI investments increases, data leaders must move beyond adoption metrics and project milestones to demonstrate tangible business impact. In many organizations, the challenge is no longer generating value, but proving which initiatives deserve continued investment.

Join this boardroom to discuss:

• Translating D&A outcomes into business and financial impact
• Aligning investments with enterprise priorities and executive expectations
• Identifying which initiatives create measurable value and which do not

Most organizations have invested heavily in data platforms, business intelligence, and advanced analytics. Yet, business leaders still struggle to translate those capabilities into aligned, enterprise-wide decisions. As executive expectations for speed and consistency increase, CDAOs have a critical opportunity to move beyond delivering insights and play a central role in connecting data, analytics, and business outcomes.

Join this boardroom to discuss:

• Why decision-making remains fragmented despite mature data platforms
• Connecting data and analytics directly to core enterprise outcomes and P&L priorities
• Navigating the organizational shifts required to support consistent, data-driven decision-making

CDAOs invest heavily in modern data and AI infrastructure, yet organizations still struggle to translate these assets into real-time, personalized customer experiences. This boardroom explores why this "personalization paradox" persists and how leaders can bridge the gap between back-end data warehouses and front-end execution. We will discuss how a composable architecture allows data leaders to maintain strict security and governance over enterprise data, while securely empowering business teams with the self-serve tools required to accelerate AI-driven outcomes.

Join this boardroom to discuss:

• Activating core data and AI investments to drive real-time customer personalization
• Maintaining robust infrastructure governance while enabling self-serve access
• Eliminating engineering bottlenecks by treating warehouse data as a product

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.

As Agentic AI moves from experimentation to execution, leaders are under pressure to demonstrate measurable business impact while managing tokenization costs and evolving operating economics. The conversation is shifting from AI capabilities to value creation, cost transparency and platform strategy.

Join this boardroom to discuss:

• Identifying value levers across revenue, operation cost, productivity, and modernization
• Ensuring Agentic AI initiatives drive measurable business outcomes
• Evaluating platform choices, architecture and vendor options.

True transformation goes beyond technology, it starts with people. Creating a data-driven culture means inspiring teams to embrace change, experiment boldly and turn insight into action at every level.

In this session, you’ll learn how to:

• Inspire adoption through storytelling and leadership

• Overcome resistance and drive sustainable change

• Embed data-driven thinking into daily decisions

Scaling AI successfully goes beyond packaging executive ROI stories for the board; it requires a tailored, bottom-up approach that normalizes AI in daily operations. In this closing fireside chat, industry leaders will share real-world insights from their journeys to deploy AI, measure its true business impact, and look ahead at what is next. By exploring the next three to five years of AI development, this forward-looking discussion will help executives prepare their organizations—and themselves—for the next era of digital leadership.

Join this keynote to learn how to:

• Package compelling AI deployment and ROI stories for the board
• Measure the cross-business impact of AI initiatives using data
• Normalize AI in daily workflows to upskill your talent pool
• Prepare your organization and yourself for the next era of AI leadership