Executive Summit

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

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

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

Data, analytics, information and technology fuel today’s most critical business decisions. So, it should not be a surprise that 43% of heads of data and analytics ranked the relationship with their CIO the most important in a 2024 Gartner poll. The division of responsibilities will vary, but a strong alliance can ignite transformative growth.

This keynote conversation will cover:

• Creating a blueprint for partnership success
• Driving impact with data
• Being at the forefront of change in your organization

In today’s fast-evolving AI landscape, trust is essential. CDAOs must build a reliable AI framework that upholds ethical, legal and business standards. Promoting accountability and continuous learning positions AI as a trusted driver of innovation and decision making.

Join this session as Matt Griffiths, Vice President, CDO, Stanley Black & Decker shares ways to:

• Build trust into your technology stack
• Outline a path to ensure framework scalability
• Foster organizational culture for data literacy

The future of governance is the convergence of capabilities where data governance, data management, information management and AI meet. While effective governance is critical for fostering business and technology innovation, Gartner research reveals three out of four Chief Data & Analytics Officers are not consistently applying governance policies effectively.

Join this Gartner led session to learn about:

• Building a successful framework balancing enforcement, enablement and engagement
• How data governance is connected with and driving enterprise governance initiatives
• The role of agentic AI in advancing data governance

Elevating data literacy while upskilling business analysts and data scientists is not just part of your role—it’s crucial to your organization’s success. Building a culture where data is viewed as a valuable asset empowers all employees to become comfortable and proficient in optimizing data for their daily roles. M&T Bank found success through an internal "Data Academy," which functions as a delivery engine, not a training course.

So, roll up your sleeves, and explore:

• Why you should build your own 'Data Academy'
• How a Data Academy can exponentially increase your impact across the organization
• Tangible steps to build a Data Academy of your own