Executive Summit

As data and AI reshape the business landscape, leaders face new challenges in governance, workforce enablement and delivering measurable value. Discover how to prioritize initiatives and modernize data architecture, while ensuring data quality in the age of generative AI. Every decision is tied to business outcomes and ROI, equipping you to lead with confidence.

Join this session to explore:

• Strengthening data quality and architecture for AI
• Prioritizing high-impact analytics initiatives
• Measuring value and ROI with practical metrics

The move from mainstream BI tools to code-first AI-authored, automated dashboards is revolutionizing analytics, boosting efficiency and elevating stakeholder satisfaction. Organizations are overcoming analysis paralysis and costly development cycles by adopting prompt-based report and dashboard development, while also rethinking the need for legacy tools like data catalogs and semantic layers. By embracing this transformation, data teams can shift from reactive support to proactive drivers of strategic business value.

In this session, you will:

• Uncover best practices for transitioning to AI-authored code-first BI
• Identify challenges and solutions in automating dashboard development with AI
• Reimagine the role of data teams in delivering business impact

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.

Autonomous data and analytics solutions empower CDAOs to align data strategy with business objectives, control costs, and strengthen data and AI governance. Intelligent automation and real-time analytics optimize data operations and security, accelerating digital transformation and enabling more robust, compliant data practices. Enhance user experience and empower your teams to focus on high-value analytics initiatives by embracing automation for greater efficiency, resilience, and insight-driven decision-making.

Join this session to discover:

• Aligning data and analytics strategy with business goals through automation

• Optimizing costs, data operations, and security with real-time analytics

• Enhancing user experience and talent focus by automating data-driven processes

As data leaders navigate the agentic era, the focus shifts from reactive analytics to orchestrating proactive, high-ROI agentic workflows that bridge infrastructure and business value. This framework invites discussion on integrating operational intelligence, proactive security, and board-level governance to accelerate enterprise AI transformation. 

Come together with your peers to explore how to:

• Automate high-impact, low-risk workflows to realize agentic value
• Integrate security and trust with centralized, transparent oversight
• Align agentic initiatives with strategy via structured governance and monitoring

As analytics and AI adoption accelerates, CDAOs are shifting from reactive data quality to proactive, end-to-end visibility across the data lifecycle. By embedding governance and automation, organizations can scale reliable, decision-ready data products that deliver measurable business value.

Join this session to:

• Build trusted, enterprise-scale data workflows
• Enable proactive visibility for scalable data products
• Automate data reliability for analytics and AI success

Open Data Infrastructure is essential for organizations in the AI era, helping leaders scale analytics and AI while maintaining control. CDAOs must balance innovation, flexibility and cost as data platforms expand.

Join this session to learn about:

• Designing interoperable architectures to avoid lock-in
• Applying openness to semantics, metadata and governance
• Enabling AI and operations with flexibility and cost transparency