Executive Summit

Scaling AI requires strong governance, clear data architecture, and responsible practices. Cross-functional collaboration and transparent communication help align AI initiatives with organizational values and compliance needs. Discover practical models for sustainable and ethical AI growth.

Join this session to explore:

• Implementing responsible AI governance
• Aligning AI with organizational goals and compliance
• Leading change management and enterprise transformation

Organizations are evolving beyond traditional programming to leverage new technologies for productivity and transformation. Success relies on structured approval processes, early business engagement, and learning from both industry successes and failures. Collaborative governance ensures compliance, security, and effective risk management as new use cases scale.

Join this session to learn more about:

• Structured approval processes for initiatives based on scale and risk
• Early business partner engagement and value demonstration
• Collaborative governance integrating compliance and business needs

AI-powered coding agents are reshaping how data teams approach engineering workflows, automating repetitive tasks and accelerating development cycles. Learn how organizations are integrating coding agents into daily operations, from initial adoption to scaling impact across teams. Simple nudges can spark interest among junior engineers and motivate senior team members to embrace these transformative tools.

Join this session to learn more about:

• Automating workflows with coding agents
• Scaling adoption across teams
• Nudging engineers to embrace new tools

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 boardroom to discuss:

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

AI is reshaping where data needs to live and how quickly insights must be delivered. Many CDAOs are finding that traditional, cloud centric architectures can’t keep pace—especially as increased workloads drive new cost, locality, and sovereignty pressures. Modernization now requires rethinking where data sits, not just how it moves.

Join this session to discuss:

• How data locality accelerates delivery and operational efficiency
• When alternative placements outperform single cloud strategies
• A strategic model for reducing technical debt and unlocking enterprise-wide 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.

As Enterprise AI moves from passive assistants to autonomous agents, the foundation of success has shifted. Leading organizations no longer just manage data, they engineer Agent-Ready environments. This townhall explores the transition from human-centric dashboards to machine-readable context, ensuring that Agentic AI solutions are grounded in high-integrity, multimodal enterprise data.

Join this session to discuss: 

• The transition from data engineering to context engineering for autonomous decision making

• Deploying role-based agentic AI providing end-to-end workflows

• The new metrics around productivity relating to ROI and risk mitigation

Agentic AI is transforming business, but CDAOs can only scale AI agents as quickly as they can provide trusted, real-time context. Context intelligence is essential, combining data and business meaning for confident scaling.

Join this roundtable to discuss:

• What are the core data platform capabilities required to serve as a system of context
• How should you structure your AI strategy to balance innovation speed with accountability and measurable outcomes
• Which key metrics should you track to assess data readiness for AI

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