Executive Summit

Don’t just react—lead your organization into the future. As AI rapidly evolves from traditional models to generative and agentic technologies, organizations face new goals and heightened expectations. Pfizer’s first Chief AI and Analytics Officer shares how to overcome adoption barriers and implementation challenges to establish robust standards, align initiatives, and drive operational efficiency.

Join this session to discover how to:

• Build a future-ready data and AI culture
• Scale AI through a connected, enterprise-first strategy
• Navigate AI complexity with strategic focus

AI won’t fix broken data. Governance is the key to transforming fragmented, unreliable information into trusted, strategic insight. As AI scales, the boundary between data and security functions is dissolving. CDAOs must now collaborate with security leaders to govern not only data, but the systems that use it — balancing innovation and accountability.

Join this session to learn how to:

• Build governance models that bridge security and data strategy
• Mitigate AI risk through cross-functional collaboration
• Enable trust through unified governance practices

As organizations accelerate their AI initiatives, the choices made today will determine whether they achieve true autonomy or become reliant on external platforms and providers. How can data and analytics leaders architect strategies that maximize flexibility, control, and long-term value?

Join this boardroom to discuss:

• Building resilient, self-sufficient AI and data ecosystems
• Balancing open innovation with governance and compliance
• Empowering teams for sustainable, organization-wide AI adoption 

Turning data and AI into business impact requires more than strategy — it requires execution. Leaders are challenged to adopt the newest technology, embed governance, and deliver faster insights, all while maximizing organizational value. Is your organization set up to maximize the value of its data and AI initiatives?

Join this round table discussion to discuss:

• Adopting new technology while maintaining strong governance and compliance
• Accelerating insights, learning, and decision-making without sacrificing trust
• Learning from real-world successes and challenges to maximize value

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.

AI at scale demands more than data access—it requires explainability, interoperability and continuous innovation. Regional leaders now face the challenge of building resilient, future-ready data foundations that empower responsible AI and accelerate digital transformation.

In this roundtable, data leaders will explore:

• Operationalizing semantic layers for AI-ready data products
• Balancing latency, trust, and performance at scale
• Embedding governance and explainability into core data foundations

Data sits at the heart of enterprise growth and innovation, and CDAOs are uniquely positioned to bring together people, processes, and technology to unlock AI’s true potential. Let’s share real-world approaches for building a fast, flexible, and trustworthy data ecosystem that gives leaders the confidence to make bold decisions and deliver business value.

Join this session to discuss:

• Streamlining data integration and governance for operational efficiency
• Empowering teams with contextualized, accessible data for smarter outcomes
• Fostering a culture of innovation by aligning leadership and technology priorities