Executive Summit

The evolving AI ecosystem presents both opportunities and challenges. Data leaders are navigating the complexities of AI integration while facing an increasingly dynamic regulatory landscape and tasked with ensuring data integrity, scalability and regulatory compliance. In this keynote session, attendees will gain exclusive insights into how Southwest Airlines is leveraging AI to reshape enterprise data strategies, employee and customer experiences and compliance frameworks.

Learn more about:

• Building a scalable AI infrastructure within enterprise data ecosystems
• Mitigating risk and ensuring data accuracy in regulated environments
• Real-world applications of AI-driven products and lessons learned

There is no risk-free position in 2025 when it comes to generative AI. Hitting the brakes can be just as costly as moving forward. Gartner found that by 2027, 75% of CDAOs who have not established themselves as an indispensable strategic collaborator in their organization's AI success will lose their C-level position.

Join this session to learn about:

• Successful AI implementations from concept to deployment
• Navigating potential legal, governance and sales roadblocks
• Gaining cross functional team collaboration and establishing disciplined processes

In an era where AI is reshaping industries and redefining competitive advantage, traditional data management strategies no longer suffice. High-performing executives navigating an AI-first world need proactive, intelligent and automated management of data assets.

Join this boardroom to discuss:

• Harnessing the power of AI to improve data management outcomes
• Transforming data governance, quality and observability with AI reasoning
• Leveraging agentic data management to unlock competitive edge

In today's data-driven world, organizations must maximize the potential of their data — from building predictive analytics and ML models that power deeper insights into customer behavior, to building GenAI applications. Replicating data across all sources fuels innovation and drives better business outcomes, while modernizing data movement ensures secure and reliable access to centralized data. Join this boardroom to delve into this core topic and learn how technology leaders are modernizing their data platforms and automating processes to get the most value from their data.

During this boardroom, you will discuss:

• Establishing a framework to manage structured and unstructured data
• Improving data readiness for predictive analytics, GenAI applications and ML models
• Building an approach to data management that gives rise to reliable, accessible data

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 CDAOs continue to grow in their journeys, it is necessary to ensure your data fabric has a solid foundation on the information as well as the barriers in place accessing it. Governance plays a crucial role in establishing and maintaining these barriers, ensuring data integrity and compliance. When we add GenAI into the conversation, how can we leverage this tool to our advantage, ensuring those barriers aren’t compromised? Effective governance strategies are essential to balance innovation with security and ethical considerations. This complex conversation has many considerations, so let's explore them together.

Join this session to learn more about:

• Overviewing the complexities of metadata management
• Challenging aspects of data fabric as GenAI implementation continues
• Improving the process of governance models

Striking the right balance between decentralized agility and centralized governance is one of today’s biggest data and analytics challenges. How do you empower analysts to generate insights faster while maintaining control and accountability?

Join this boardroom to discuss:

• Finding the balance between data access and accountability
• Implementing appropriate access controls without excessive bureaucracy
• Best practices for managing self-service analytics across distributed teams and systems

AI adoption varies widely across organizations — some are just starting, while others are scaling enterprise wide. But what defines true AI maturity, and how can companies accelerate their journey?

Join this roundtable to discuss:

• How organizations measure progress
• What drives successful AI deployments
• What trends will shape AI adoption